Project Engineer jobs at Bell Flight

The Commissioning Engineer is a deployable member of the Engineering team responsible for system commissioning, acceptance testing, and end-user knowledge transfer. This role ensures that integrated AV, UC, and IT systems are tested, validated, and fully functional prior to project turnover. The Commissioning Engineer servs as an on-site technical leader and works closely with installation, project management, programming, and engineering teams to deliver systems that meet Pixel integration standards and project specifications. ROLES AND RESPONSIBILITIES: · Conduct pre-deployment system testing and validation, in-office, prior to installation. · Perform on-site commissioning and acceptance testing prior during final system verification. · Provide direction and technical leadership to installation personnel while on-site to ensure proper system functionality and adherence to company standards. · Conduct knowledge transfer sessions with client stakeholders and end users following acceptance testing. · Test and verify control system functionality and collaborate with programmers to debug and optimize performance. · Make minor control system and/or GUI modifications when necessary to align with project documentation and system performance goals. · Configure and tune DSP systems. · Perform network configuration to support AV-over-IP solutions. · Configure, test, and optimize digital video signal chains. · Deploy and configure unified communications systems (Microsoft Teams Rooms, Zoom Rooms, and Cisco Webex). · Validate and troubleshoot USB signal extension, connection, and operations. · Document commissioning and acceptance testing results and provide detailed feedback to engineering and programming teams. · Maintain professionalism and represent the company positively during client-facing engagements. SUCCESS FACTORS: · Ability to Travel Nationwide · A high level of customer centricity · Strong team player with the ability to adapt to diverse team members · Ability to perform in a fast paced/high volume environment · Excellent verbal and written communication skills · Exceptional Critical Thinking skills · Detail Oriented- a high level of attention to detail is required · A high level of time management, accountability, and prioritization skills · Self-motivated, goal-oriented, and driven to accomplish department goals · Ability to be organized, problem solve, and be solution oriented · Proficient in Microsoft Office (Word, Excel, Outlook, Power Point) WORK ENVIRONMENT: · Must be able to work in a variety of physical positions, including climbing, sitting, standing, walking, and driving · When working on site, could be required to wear common protection of safety equipment, such as safety glasses, gloves, hearing protection and hard hats EXPERIENCE AND EDUCATION: · 3-5 years of experience in AV integration, service, or commissioning. *Programming or Engineering experience is a plus* · Hands-on experience with Crestron, Q-SYS, or Extron control systems · Hand-on experience with Q-SYS, Biamp, or Shure DSP platform configuration and tuning · Demonstrated understanding of AV-over-IP and network-based media transport technologies and protocols · Real world experience configuring and deploying UC ecosystems such as Microsoft Teams, Zoom, and Webex · Strong troubleshooting and system-level problem-solving skills · CTS certification, or ability to quickly obtain Pixel Technologies is an equal opportunity employer. All candidates agree to complete a selection assessment and pre-employment drug screen.

Immediate need for a talented Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Columbus OH, (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-92801 Pay Range: $76 - $78/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; ML Development, Python & CI/CD Programming Languages: Proficiency in Python for ML development and integration. ML Frameworks and Libraries: Experience with ML frameworks like , PyTorch, Familiarity with libraries for NLP Cloud Platforms: Hands-on experience with cloud platforms - AWS, Azure for deploying ML models and pipelines. DevOps and MLOps: Knowledge of CI/CD pipelines for deploying ML models in production. Prompt Engineering Retrieval Augmented Generation Our client is a leading Insurance Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Dear All, Vertex Elite is currently seeking a qualified HL7 Integration Engineer/Developer with Epic Bridges Certification to join our team. If you or someone you know is interested, please feel free to reach out for more details or share your updated resume. Work Authorization : USC or Any valid USA work authorization Job Type : Contract Location : 100% Remote Required Skills and Qualifications Active Epic Bridges Certification (must-have). Strong experience in HL7 interface development, integration, and troubleshooting. Strong proficiency with Intersystems HealthConnect including productions, business services, business processes, and transformations Experience supporting clinical applications and provider workflows within healthcare systems Exposure to Cloverleaf interface engine and TCL scripting for interface development (good to have, not mandatory) With Best Regards, Rama Raju | Vertex Elite LLC | E-Verified Company | ********************

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms

Build your Career with an Industry Leader Headquartered in Cincinnati, LSI Industries (NASDAQ: LYTS) specializes in the creation of advanced lighting, graphics, and display solutions across strategic vertical markets. The company's American-made products, which include lighting, print graphics, digital graphics, refrigerated and custom displays, aim to help businesses stand out in a competitive market. With a workforce of approximately 2,000 employees and 20 facilities throughout North America, LSI provides top-quality solutions for its clients. LSI's management team is focused on continued profitable growth. We are looking for a Manufacturing Design Engineer to support our team at our corporate location in Cincinnati, OH. SUMMARY: Provide manufacturing influence and expertise to the Design Engineering team to ensure that manufacturability, repeatability, process control and quality are considered and met at every stage of the production development process. Provide cross functional coordination between Operations, Engineering and the Quality departments to facilitate seamless transition of new product designs into the manufacturing environment. ESSENTIAL DUTIES AND RESPONSIBILITIES: Work with design engineers on implementing new product designs into production. This includes identifying production capabilities/limitations, conducting engineering builds, coordinating pilots with Operations, and assisting in preparing necessary documentation that helps successfully implement product to shop floor. Review bills of material, assembly drawings, routings, and other production support documentation to maintain accuracy and work closely with Product Support Teams implementing changes and proposed improvements. Work with cross-functional teams in the planning and designing of new products to ensure their manufacturability and apply DFM methods and analysis. Assist in the design and specification of assembly fixtures, jigs, tools and testers as needed to achieve manufacturing goals. Drive continuous improvement projects start to finish updating all necessary Engineering and Manufacturing documentation, processes, procedures, and equipment as needed to support the continuous improvement. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE: Bachelor's degree (B. A.) from four-year college or university; and one to two years related experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. OTHER SKILLS AND ABILITIES Use computer assisted drafting system (CAD) equipment and software. COMMENTS Employee may upon occasion be required to go to a job site to record data or make observations. Benefits: 401(k) Health insurance Dental insurance Vision insurance Paid time off EEOC: LSI is committed to a diverse and inclusive workplace. LSI is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Commissioning Engineer is a deployable member of the Engineering team responsible for system commissioning, acceptance testing, and end-user knowledge transfer. This role ensures that integrated AV, UC, and IT systems are tested, validated, and fully functional prior to project turnover. The Commissioning Engineer servs as an on-site technical leader and works closely with installation, project management, programming, and engineering teams to deliver systems that meet Pixel integration standards and project specifications. ROLES AND RESPONSIBILITIES: · Conduct pre-deployment system testing and validation, in-office, prior to installation. · Perform on-site commissioning and acceptance testing prior during final system verification. · Provide direction and technical leadership to installation personnel while on-site to ensure proper system functionality and adherence to company standards. · Conduct knowledge transfer sessions with client stakeholders and end users following acceptance testing. · Test and verify control system functionality and collaborate with programmers to debug and optimize performance. · Make minor control system and/or GUI modifications when necessary to align with project documentation and system performance goals. · Configure and tune DSP systems. · Perform network configuration to support AV-over-IP solutions. · Configure, test, and optimize digital video signal chains. · Deploy and configure unified communications systems (Microsoft Teams Rooms, Zoom Rooms, and Cisco Webex). · Validate and troubleshoot USB signal extension, connection, and operations. · Document commissioning and acceptance testing results and provide detailed feedback to engineering and programming teams. · Maintain professionalism and represent the company positively during client-facing engagements. SUCCESS FACTORS: · Ability to Travel Nationwide · A high level of customer centricity · Strong team player with the ability to adapt to diverse team members · Ability to perform in a fast paced/high volume environment · Excellent verbal and written communication skills · Exceptional Critical Thinking skills · Detail Oriented- a high level of attention to detail is required · A high level of time management, accountability, and prioritization skills · Self-motivated, goal-oriented, and driven to accomplish department goals · Ability to be organized, problem solve, and be solution oriented · Proficient in Microsoft Office (Word, Excel, Outlook, Power Point) WORK ENVIRONMENT: · Must be able to work in a variety of physical positions, including climbing, sitting, standing, walking, and driving · When working on site, could be required to wear common protection of safety equipment, such as safety glasses, gloves, hearing protection and hard hats EXPERIENCE AND EDUCATION: · 3-5 years of experience in AV integration, service, or commissioning. *Programming or Engineering experience is a plus* · Hands-on experience with Crestron, Q-SYS, or Extron control systems · Hand-on experience with Q-SYS, Biamp, or Shure DSP platform configuration and tuning · Demonstrated understanding of AV-over-IP and network-based media transport technologies and protocols · Real world experience configuring and deploying UC ecosystems such as Microsoft Teams, Zoom, and Webex · Strong troubleshooting and system-level problem-solving skills · CTS certification, or ability to quickly obtain Pixel Technologies is an equal opportunity employer. All candidates agree to complete a selection assessment and pre-employment drug screen.

Immediate need for a talented PCB Design Engineer. This is a 11+ months contract opportunity with long-term potential and is located in Cincinnati, OH(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94418 Pay Range: $55 - $58/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; PCB, Design Validation, Embedded Systems Development and qualification of electromechanical components such as Switch assemblies, cable assemblies, PCBAs. Understand Measurement Systems analysis and understanding of establishing calibration requirements. Work with suppliers to meet established cost, quality, and performance requirements. Work with suppliers on component qualification activities and monitor the execution. Understand and conduct Design of Experiments, Process Stability / Control / Capability methods, etc. for process characterizations/mfg./equipment development Effective communication with suppliers on design requirements and process capability needs Position may require up to 30% travel both domestic and international. Board Bring-up Design review, DFMEA, DFM & Board Revision Low-level Embedded drivers development for on-board peripherals & Motor control Schematics & BOM updates for PCBAs Write Module test plan and execution Writing Engineering Studies for board level & device level testing Design Transfer Test Engineering scope: Writing Test Specs for ICT/ FCT Liaison technical discussions between supplier & design team and resolve stumbling blocks Design review of Hardware & fixture for Functional Testers ICT/ FCT Qualification and deployment on plant Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

AV Field Engineer Travel: 80-100% Travel Ability regionally MUST be located near an International Airport We are currently hiring candidates in the Washington DC / Baltimore, Cincinnati, Louisville and Lexington areas We are open to candidates that would relocate The AV Field Engineer is responsible for diagnosing and repairing various types of audiovisual, videoconferencing, and IT-related systems. This position requires thinking independently and working within the specified guidelines with minimal supervision. ROLES AND RESPONSIBILITIES: Ability to lead small to large-scale AV projects including new construction. Assumes the responsibility of leading a team of technicians on large-scale AV buildouts. Ability to work efficiently in a fast-paced environment. Reporting accurately daily to the assigned project manager Analyze and interpret system drawings. Perform installation, adjustment, and operation of audiovisual equipment such as cameras, speakers, displays, projectors, and microphones. Cable management above ceilings, under tables, and within racks Pull and terminate various types of cabling connections (CAT6, Crestron DM, Cresnet, RS232, Speaker wire, mic wire, XLR connectors, phoenix connectors, soldering, etc.) Ability to solder. Registration and setting changes of VTC codec endpoints (Cisco, Poly) Proficient with QSC, Crestron, Extron, Biamp, Shure, Cisco, and Poly hardware components Knowledge of networking fundamentals such as TCP/IP, addressing, firewalls, routers, VLANs, and VPN Perform hardware upgrades to all AV components. Proficient with Crestron Toolbox, Biamp Tesira, Q-SYS, and Shure software Adjust and fine-tune digital signal processors (DSP) including QSC and Biamp Verify that installations are correct and recommend corrective action if necessary. Ability to work with a remote system programmer to load and diagnose problems and interfaces. Commission complex systems, troubleshoot issues, and optimize systems for final testing and turnover to clients. Comfortable and able to communicate with C-Level executives. Ability to perform knowledge transfer and educate customers on installed equipment and receive a final sign-off from the customer showing job completion. Compile and submit all project-related deliverables including redlining CAD documents. SUCCESS FACTORS: Heavy Travel is involved in this role. A high level of customer centricity Strong team player with the ability to adapt to diverse team members. Ability to perform in a fast-paced/high-volume environment. Excellent verbal and written communication skills Exceptional Critical Thinking skills Detail Oriented- a high level of attention to detail is required. A high level of time management, accountability, and prioritization skills Self-motivated, goal-oriented, and driven to accomplish department goals. Ability to be organized, problem-solve, and be solution-oriented. Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint) Certifications: CTS-I, Extron AVA, Q-SYS Level I & II, DMC-E-4K, DMC-D-4K, AMX-ACE, Biamp TesiraFORTE´ ? Preferred WORK ENVIRONMENT/EDUCATION EXPERIENCE: May be exposed to uncomfortable or distracting sounds or noise levels on sites of projects being managed or coordinated. When working on-site, will be required to wear common protective safety equipment, such as safety glasses, gloves, hearing protection, and a hard hat. 6+ years' experience in collaboration or Audio-Visual Integration High School Diploma or equivalent experience preferred. Must be eligible to rent a car, including meeting age requirements and possessing a valid driver's license. Pixel Technologies is an equal-opportunity employer. All candidates agree to complete a selection assessment and pre-employment drug screen.

itD is seeking a Project Manager to support a high-impact digital ecosystem initiative, focused on delivering robust solutions across web portal assets. This is a remote role (work from home). This individual will be embedded within a partner-aligned consulting engagement and play a key role in managing a project that involves driving architecture standards, integration strategies, and delivery across platforms such as Drupal (Acquia CMS), Fluid Topics, Docebo, Khoros, and other systems. The ideal candidate will bring strong Project Management oversight, team leadership, and operational coordination for managing development resources, updating leadership on technical risks and timelines in strategic roadmaps in a dynamic, evolving environment. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Serve as the primary Project Manager between the company and implementation partners (e.g., Infosys, Acquia, Fluid Topics, Docebo, Khoros). Oversee project management efforts for integrations with CRM (Salesforce), SSO (Microsoft Entra ID / Okta), DAM, NetStorage/CDN (Akamai), and future ERP/PLM/PIM connections. Review Partner-led project management timelines, risks, and mitigation strategies to be rolled up in an overall Program involving several concurrent workstreams. Operational Support oversight, leadership and escalation support to optimize on-time delivery, ensuring highest level of quality, and driving issues to closure that are impacting the .com go-live transition timeline negatively. Technical Development Coordination work closely with and coordinate with Partner Dev/Engineering resources to plan delivery of work efforts as needed. The internal responsibilities will be as follows: Attend regular internal PMO Community of Practice (CoP) meetings. Collaborate with your itD PMO practice team on industry thought leadership. Complete client case studies and learning material. (Blogs, media material). Build out material to contribute to PMO practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required qualifications and skills Technical Project Management Expertise Proven experience managing technical architecture and documentation projects using structured status reporting frameworks Ability to produce project management documentation that's accurate, current, understandable, and relevant to various stakeholders. Experience structuring documents with clear overviews, then gradually increasing detail-using workstream diagrams and narrative explanation for status reporting. Preferred qualifications and skills Management of Integration & Portal Platforms Preferred experience managing web portal platform projects involving technologies such as: Drupal (Acquia CMS), Fluid Topics, Docebo, Khoros, and similar portal platforms. Ability to manage projects involving integration strategies and architectural patterns for seamless interoperability across web assets (main site, LMS, community, docs portal, partner portal). Company description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit *************************** to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information. Additional info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today

As a Frontend engineer, you will have the opportunity to design, build, test, maintain, and have a direct and meaningful effect on the digital platform and customer experience. We are committed to being an inclusive and transparent culture that cultivates the best software engineers who define the future of our digital platforms. REQUIRED SKILLS: At least 5 year of React/Redux commercial experience (within last 2 years) 6+ years of strong Web-UI development experience (with demonstrable HTML, CSS, JavaScript technology usage) Excellent programming skills in JavaScript (ES 2015+) Experience using Git and npm in a collaborative environment Demonstrable knowledge of these concepts: Software Design Principles and Patterns Browsers (HTTP, APIs, event loop, render cycle, etc.) Build Tools (Webpack, Rollup, etc.) CI/CD (tools, pipelines, patterns) Automated Testing (unit, functional, contract, mocking, etc.) Application Performance Tuning (Lighthouse, browser dev tools, etc.) WAI-ARIA, WCAG, & assistive technology Progressive Web App (PWA) technologies BONUS SKILLS: Functional programming in JavaScript WebAssembly (Wasm) Server-side development experience with Node.js or similar language/framework Jest/Mocha Webpack/Rollup Yarn Babel Webdriver IO GitLab Web UI framework experience (Angular, Vue, Stencil, Svelte, etc.) Web Components Flowtype/TypeScript NGINX Bash Scripting Cloud Platforms (Azure, GCP, Cloud Foundry) Docker Key Responsibilities: Senior Web Lead • Identify, uphold and apply Web engineering best practices • Implement Web design principles to ensure our Web apps are performant, accessible, and provide the ideal user experience on devices of various sizes. • Collaborate with designers, product managers, and team to iterate on design and implementation • Assist in the development of applications & features that will be used by customers and internal associates • Work with APIs and API teams to build and ship new experiences • Review existing Web app code, new code and plan future app upgrades with the development teams • Design and develop frameworks for creating Web apps that grow with the needs of the company • Set Web app performance indicators and alarms. Monitor, actively improve, and respond to performance metrics • Stay up-to-date and explore emerging technologies

At least 5 year of React/Redux commercial experience (within last 2 years) 6+ years of strong Web-UI development experience (with demonstrable HTML, CSS, JavaScript technology usage) Excellent programming skills in JavaScript (ES 2015+) Experience using Git and npm in a collaborative environment Demonstrable knowledge of these concepts: Software Design Principles and Patterns Browsers (HTTP, APIs, event loop, render cycle, etc.) Build Tools (Webpack, Rollup, etc.) CI/CD (tools, pipelines, patterns) Automated Testing (unit, functional, contract, mocking, etc.) Application Performance Tuning (Lighthouse, browser dev tools, etc.) WAI-ARIA, WCAG, & assistive technology Progressive Web App (PWA) technologies BONUS SKILLS Functional programming in JavaScript WebAssembly (Wasm) Server-side development experience with Node.js or similar language/framework Jest/Mocha Webpack/Rollup Yarn Babel Webdriver IO GitLab Web UI framework experience (Angular, Vue, Stencil, Svelte, etc.) Web Components Flowtype/TypeScript NGINX Bash Scripting Cloud Platforms (Azure, GCP, Cloud Foundry) Docker Key Responsibilities Senior Web Lead Identify, uphold and apply Web engineering best practices Implement Web design principles to ensure our Web apps are performant, accessible, and provide the ideal user experience on devices of various sizes. Collaborate with designers, product managers, and team to iterate on design and implementation Assist in the development of applications & features that will be used by customers and internal associates Work with APIs and API teams to build and ship new experiences Review existing Web app code, new code and plan future app upgrades with the development teams Design and develop frameworks for creating Web apps that grow with the needs of the company Set Web app performance indicators and alarms. Monitor, actively improve, and respond to performance metrics Stay up-to-date and explore emerging technologies