Facility Engineer jobs at Bosch USA

Ultimate Staffing is actively seeking a dedicated and experienced Mechanical Engineer to join their client's team in California. This exciting opportunity is perfect for a professional ready to lead innovative projects and contribute to the development of cutting-edge technologies. The successful candidate will be involved in a range of engineering tasks, from design to implementation, with a focus on thermal battery systems. Responsibilities Own subsystem design by leading the architecture, analysis, detailed design, and testing of structural, thermal, and fluid components within thermal batteries. Perform rigorous analysis through calculations, finite element analysis (FEA), and trade studies to guide design decisions. Drive validation and reliability by leading prototyping, testing, and root cause analysis to ensure robust, reliable hardware. Pursue cost-down initiatives by identifying and implementing design and manufacturing approaches that reduce cost without sacrificing performance. Collaborate cross-functionally to define system requirements, lead design reviews, and integrate feedback across teams. Establish best practices by developing and maintaining CAD standards, documentation, and engineering infrastructure. Mentor and lead junior engineers, serving as a technical lead. Qualifications Bachelor's degree in Mechanical Engineering required. Senior Engineer: 6+ years relevant industry experience (Bachelor's) OR 4+ years (Master's) OR PhD. Staff Engineer: 10+ years relevant industry experience (Bachelor's) OR 8+ years (Master's) OR PhD with 4+ years. Examples of relevant industry experience include power generation, aerospace, propulsion, or other industrial hardware products. Proven track record of taking complex mechanical systems from concept to deployed hardware. Strong proficiency with CAD (SolidWorks or similar), PDM systems, and creating detailed drawings (GD&T, ASME Y14.5). Deep experience with machined components for low- to mid-volume production; additional experience with sheet metal, castings, or composites is a plus. Proficiency in structural and/or thermal analysis (FEA and hand calculations). Familiarity with systems analysis and risk management tools such as FMEA. Experience developing engineering processes, standards, and best practices. Required Work Hours Monday through Friday, during first shift hours. Benefits The role offers competitive compensation, with a salary range between $120,000 and $190,000, dependent on experience and qualifications. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Head of Engineering & AI - Investment Management - Boston, MA 02111 We are currently seeking candidates for a Head of Engineering & AI position. The Head of Engineering & AI will guide teams across Software Engineering, Cloud, DevOps, Data Engineering, and AI/ML, ensuring modern architecture, strong execution, and consistent delivery. The role blends long-term strategy with hands-on leadership to turn technology and data into meaningful business impact. This is a full-time permanent position that will pay a base salary of $250K-$350K (depending on experience) plus bonus. Responsibilities Define and communicate the firm's engineering and AI strategy. Lead software, cloud, data, and AI teams; strengthen technical capabilities. Improve data quality, accessibility, and system reliability. Prioritize and execute high-impact technology initiatives. Introduce AI-driven tools and automation into business workflows. Manage relationships with cloud and technology vendors. Ensure secure, scalable, and compliant operations. Oversee budgeting and resource planning for engineering functions. Qualifications Bachelor's degree in Computer Science 10+ years across software, data, and cloud environments (AWS preferred). 8+ years in engineering leadership roles. 2+ years working with modern AI / LLM-powered solutions. Strong background in cloud architecture and full-stack development. Proven leadership across teams, vendors, and complex initiatives. Excellent communication skills with experience presenting to executives. Experience with enterprise data strategy and platform development. Exposure to scientific, biotech, or data-driven organizations is a plus. If you are interested in learning more about the role please send your resume Mark at ******************. IND123

TITLE: Machine Learning Engineer ANTICIPATED DURATION: 1+ years Rate: $70-85/hr W2 only - no C2C Responsibilities: Design and build modular, reusable AI components that can be scaled across business units Lead development of scalable RAG-based solutions for document comparison (e.g., contracts vs. invoices) Engineer multi-agent systems for intelligent task coordination and decision support Develop transcription and NLP pipelines for customer interaction analysis Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain Package models for deployment in Azure ML, ensuring scalability and maintainability Collaborate with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns Contribute to shared libraries, APIs, and templates that accelerate AI product delivery Ensure AI products meet enterprise-grade security and compliance standards Implement monitoring for model performance, data drift, and usage metrics Requirements: Bachelor's or Master's in Computer Science, AI, Data Science, or related field 5+ years in AI/ML engineering or applied machine learning Experience building production-grade AI systems in cloud environments (Azure preferred) Strong Python skills; experience with LLMs, RAG, and agent frameworks Familiarity with Azure ML, Databricks, and MLflow Experience with NLP, speech-to-text, and document intelligence Proficiency in SQL and big data tools (Spark, Kafka) Preferred Experience: Designing multi-agent architectures or orchestration frameworks Familiarity with LangChain, OpenAI APIs, or similar LLM tooling Experience designing front-end GUIs for chat interfaces Certifications in Azure AI or ML engineering Experience in multi-business or federated enterprise environments Agile development experience and comfort with iterative delivery The hourly pay rate range for this position is $70.00 to $85.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to *********************. If you require assistance or an accommodation in the application or employment process, please contact us at *********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Our client is one of the largest engineering consulting firms in the United States solely focused on vehicle accident reconstruction looking to identify a Mechanical Project Manager (P.E.) in Fayetteville, AR and Nashville, TN. Their teams are made up of mechanical and biomechanical licensed engineers that reconstruct complex motor vehicle collisions. The Project Manager's play a critical role serving as project leads in conducting fieldwork and performing analysis using the latest technologies in 3D scanning and computer simulations supported by our internal digital media team. The PM's will also present accurate and compelling results to our clients and, at times, are asked to testify in trials. Ideal candidates will have their P.E. license, hold a master's degree in mechanical engineering and have a have had direct client-facing roles. The candidate must enjoy working in a high-energy environment and being outdoors-this opportunity involves some regional travel. Skills and Qualifications B.S. or M.S. in Mechanical Engineering and has obtained his/her P.E. license Prior or current Accident Reconstruction Experience 4+ years of Engineering experience, with strong client interaction accountabilities. Excellent Interpersonal skills (oral and written), and ability to foster strong relationships with teammates and clients Available to travel regionally Comfortable working on a team and in a collaborative space Positive attitude full of commitment and a desire to contribute Passion for teaching/mentoring clients and colleagues Preferred: An interest in motor vehicles and automotive engineering. Has utilized 3D Scanners, drones, and photography. Base Salary: $150,000 to $170,000-negoitable. Final determination of salary will be based on an evaluation of experience, education, budget, etc.

Engineering Design & Testing Corporation (“EDT”) is a professional services organization providing forensic engineering, technical consulting, fire investigation, risk mitigation, and associated services across the United States. Founded in 1978, EDT brings more than 45 years of experience providing objective civil / structural, mechanical, and electrical forensic engineering analysis, accident reconstruction services, and expert witness and litigation support to industrial, manufacturing, insurance, and legal professionals requiring comprehensive, unbiased, technically sound opinions and reporting with a wholistic perspective. As an Employee-Owned company, our team of highly qualified experts are vested in delivering cost-effective, responsive, and reliable professional services and deliverables to our clients. Position Summary: Serves as the Engineer-In-Charge (“EIC”) responsible for coordinating with clients, performing site visits, managing resources, writing reports, and setting deadlines to ensure project deliverables are submitted in a professional and timely manner. Conducts investigations involving MEP systems, mechanical devices, and various types of machinery and / or equipment, including but not limited to, HVAC systems, hydraulic / pneumatic devices, pressure vessels, combustion equipment and / or rotating equipment. Performs root cause analyses, hazard and damage assessments, repair vs. replace evaluations and cost estimates, lab and field testing of materials, and design and manufacture defect evaluations. Must be a licensed professional engineer with a thorough understanding of fundamental engineering principles along with a firm comprehension of the function and operation of a wide range of mechanical components and equipment. Provides expert judgement and forms objective, fact based, technically sound opinions and unbiased conclusions on case assignments from insurance adjusters, independent adjusters, attorneys, and other non-legal, non-insurance clients. Must be willing to travel and physically able to climb, stand, walk and kneel for extended periods of time. Is self-motivated and capable of working independently as well as in a group environment with a dedication to ethics, quality, and customer service. This is a Hybrid/Remote role. The successful candidate must reside in the Pacific Northwest. Primary Duties & Responsibilities: Working independently, while ensuring the timely and cost-effective execution of assigned cases; Serving as the primary point of contact with clients including development and coordination of case budgets, work orders, site visits, cost estimates, and associated deliverables. Maintaining contact with clients on active cases to provide status updates, including case spend and budget status, and addressing questions, needs, or concerns at least every other week, or as otherwise agreed upon; Assisting with the development and ongoing updates to the scopes of work associated with assigned cases, as necessary; Making independent decisions for assigned cases, including the selection of applicable analysis and testing methodologies and identification and selection of resources relevant to execution of the established scope of work; Managing resources for assigned cases, including both in-house and third-party sub-contractors where applicable, to meet established deadlines; Engaging other disciplines to address areas of assignments outside of your experience or expertise / discipline, where necessary; Conducting onsite investigations, testing, and gathering applicable field data on residential, commercial and industrial properties to assess damage and gather evidence of damage and / or loss; Preparation of repair and / or replacement cost estimates, as necessary; Participating in conference calls and / or in-person meetings with clients regarding investigation status and results; Preparation of forensic reports clearly detailing the observations made, documentation and data collected from onsite inspections, laboratory examinations, applicable research conducted, testing and performance analysis results, and the associated conclusions; Providing technical support and testifying as an expert witness in depositions and court proceedings, as necessary; Collaborating with clients, colleagues, attorneys and other industry professionals, as necessary; Maintaining weekly updates to case status reports and working with the Regional Engineering Manager and Chief Engineer to address any issues with clients or your assigned cases; Conducting research and keeping current with industry best practices and emerging technologies; Developing technical topics for publication, industry presentations, and both internal and external training and continuing education development; Supporting EDT's marketing and business development resources including occasionally participating in client-relations meetings, attending industry conferences, preparing marketing and technical presentations, assisting with the development of marketing materials, preparing industry blogs and white papers, and engaging with other industry professionals; Participating in EDT's mentorship program and supporting the training and development of new engineers in conjunction with the Chief Engineer and assigned Training Coordinator; Secure and maintain professional licensure (at Company's expense) in all states where conducting investigations, including remaining current on any continuing education requirements, as necessary. Key Skills & Qualifications: Strong interpersonal skills; Excellent oral and written communication skills with a proven ability to write comprehensive technical reports; Strong organizational and time management skills; Advanced analytical and problem-solving capabilities; A high degree of integrity, honesty and moral values adhering to the Professional Engineer Code of Ethics; Ability to work independently with minimal supervision, as well as within a team environment; A collaborative demeanor with the ability to work through conflict, differing perspectives and opinions, and communicate across differing backgrounds and education levels; Ability to travel out-of-town, with periodic overnight travel required; Have strong PC, Tablet and software skills, including: MS Office - Word, Excel, PowerPoint required; Adobe Acrobat DC , Bluebeam Revu , or comparable PDF software; B.S. or M.S. Degree in Mechanical Engineering required; 4+ years' experience in forensic engineering preferred, relevant mechanical engineering & design experience considered; P.E. License with NCEES registration required; Valid driver's license required; Engineering Design & Testing Corporation is an Equal Opportunity Employer

We are currently seeking a high-caliber Mechanical Engineer for a direct basis within our client's team of experienced professionals. Located in Newport Beach, California. This privately owned engineering firm, established in 1979 and based in Seattle, offers multidisciplinary services including civil, structural, mechanical, and electrical engineering. With around 500-1,000 employees and offices across the U.S., it serves a wide range of sectors such as commercial, industrial, and government. Known for its collaborative culture and technical depth, the firm balances local responsiveness with national expertise. It has earned recognition in industry rankings and is expanding into sustainable and renewable energy solutions, including microgrids and hydrogen systems. Job Overview: Our client is seeking a Mechanical Engineer with 5 - 10 years of experience. The successful individual will have an interest in the design of HVAC, piping and plumbing systems for hospitals, commercial buildings, and industrial facilities. In addition, the individual should be comfortable consulting architectural practices and have a desire to work on a multi-discipline engineering team. Qualifications BS in Mechanical engineering or related field PE license in Mechanical Engineering (Preferred) Minimum 5 years of experience Experience with AutoCAD and Revit Excellent verbal and written communication skills PREFERRED QUALIFICATIONS Familiarity with relevant codes: mechanical, energy, plumbing Familiarity with both HVAC and Plumbing systems Experience with energy modeling software (EnergyPro, etc.) KNOWLEDGE, SKILLS & ABILITIES Must be a self-starter who is able to see the big picture and connect the vision of the company with his/her job, be persistent, and follow through in a consistent manner. Passionate about the client or pursuit and takes ownership of his/her work. Able to multi-task and prioritize in a fast-paced environment (or demonstrate ability to develop such abilities). Possess strong critical thinking, organizational, and analytical abilities (or demonstrate ability to develop such abilities). Maintain positive working relationships with internal and external customers. Proficiency in Microsoft Outlook, Word, Excel and Adobe InDesign software preferred. Must understand database concepts. Working knowledge of marketing databases and proposal resources files. General knowledge of firm's practice, clientele, goals, policies, and procedures. Basic understanding of A/E/C industry terminology and procedures and basic marketing principles. Able to work independently, as a team member, and as a team leader. Strong organizational ability; detail oriented; high degree of accuracy. Must work well under pressure. Positive contributor to overall office and department goals, culture, and morale.

Our Oil and Gas client in Houston has a DevOps contract position open - it's for their Trading & Derivatives department. Contract Duration: 6 months Hybrid within their Houston office. Required Skills & Experience Description: Required Industry Knowledge: • [Mininum of 8 years of knowledge of Realtime Market Data distribution platforms, individual Feedhandlers and Enterprise level realtime consolidated feeds] • [Mininum of 8 years of knowledge of timeseries analytic frameworks include kdb, shakti or similar technologies] • Understanding of all major global futures exchanges • Knowledge of full exchange-traded derivatives trade lifecycle • Minimum of 8 years' experience in Commodity Trading & Capital Markets / Investment Banks - to bring credible externalization of mindset and approach and ensure we are cost: value competitive • Knowledge of market data providers (Bloomberg, Refinitiv, etc.) and liquidity aggregation platforms. Role Overview As DevOps Engineer , you will be a hands-on Engineer and be a member of a small high performing, team responsible for global derivatives trading production environments. Your work will be driven both by product teams but also engineering team backlogs of improvements and tech debt. Work includes - • Ensure proactive management of critical end-to-end workflows, continuously improving stability and resilience through close collaboration with delivery and infrastructure teams • Assist with troubleshooting and issue resolution across development, support, and technical business users. • Serve as an subject matter expert for trading systems initiatives. • Hands-on experience in supporting scalable algorithmic trading technology in a compliant and flexible way. • Experience of Algo regulation, audit and compliance & RTS6) is highly desirable • Being part of the on-call rotation working as part of a global team development engineers Key Skills and Experience required • Solid track record in application deployment best practices • 10 years+ experience with Front Office application support and vendor management • Rapid incident response to maintain continuous trading operations, turning quick fixes into robust, scalable solutions • Proactive system monitoring and troubleshooting, owning reliability improvements and ensuring their successful delivery • Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements • Strong analytical and problem-solving skills, with the ability to analyze complex data sets and propose innovative solutions. • Must have strong technical skills in scripting, Python, PowerShell, C#, SQL or other programming languages • 8 years+ solid relevant FIX Engineering experience • Proven experience with exchange and vendor certification • Knowledge of Third Party Networks and EMS/OMS software vendors. (e.g., TT, NYFIX, Bloomberg, TradingScreen) • Experience in messaging systems, and experience debugging network protocols such as TCP, multicast, would be highly regarded. • [8 years+ operational experience in supporting market data distribution platforms such as, Real Time Distribution Systems (RTDS) knowledge for DACS, ADH & ADS components] • [Knowledge of Multicast data traffic management, arbitration and message queueing] • [5 years+ operational experience in supporting time series frameworks such as kdb, shakti Daily Responsibilities: Soft Skills: • Excellent communication skills to interact with traders, developers, and stakeholders. • Thrives in high-pressure situations while working alongside traders, developers and other engineering teams • Proactive, self-motivated, and flexible with a positive attitude • Ability to work under demanding deadlines with changing priorities in a trading room environment

Join our dynamic team as a Mechanical Design Engineer, where you'll create and optimize innovative mechanical systems and equipment, driving product integration to new heights. You'll lead exciting feasibility studies, test cutting-edge designs, and collaborate closely with colleagues to craft detailed designs and prototypes. Bring your technical expertise, sharp analytical mind, and strong communication skills to deliver fast, practical solutions that meet our customers' evolving needs in a fast-paced, creative environment. Develop new products or determine how existing products can be modified to suit customers' needs. Prepare engineering analysis for projects, including preliminary designs, calculations, and reviews of initial production runs of components and assemblies. Analyze data to determine the feasibility of product proposals. Analyze equipment specifications and performance requirements to determine which designs can be produced using existing manufacturing processes and methods. Assist in the development of the predictive component and product performance. Design components and assemblies using the best feasibility and manufacturability methods. Provide innovative ideas for improvements to existing products. Provide technical expertise to support manufacturing, sales, and customers. Mentor and train new engineers. Assist with supplier problems and machining/drawing inquiries. Adhere to ISO procedures and ISO compliance. Knowledge and Skills: Bachelor's degree in Mechanical Engineering. Engineering background with advanced knowledge of mechanical and electrical principles, including testing. Highly proficient in Engineering and Design software, both 2D and 3D (PTC Creo Parametric preferred). Knowledge of bearing types, seal types/materials/techniques, and materials. Ability to create engineering documents, wiring schematics, compliance matrices, and Bill of Materials (GD&T, revision control, engineering changes). Experience with Commercial, Industrial, Aerospace, Medical, Military, Nuclear, and/or Space requirements and standards (Military is preferred but not required). Understanding of power, analog and digital signals, serial communication protocols (RS-232, RS-422, RS-485, Ethernet), EMI, shielding, and grounding principles. Experience in rotary systems, including electrical, coaxial, high-frequency RF, fiber optics, fluid, encoders, potentiometers, and switches. Understanding of wire, cables, PCB, flex tapes, and connectors with integration into electrical/mechanical systems. ERP system experience to extract part information, costs, and BOMs. Understanding of ISO, AS 9100, and quality clauses. Understanding of ITAR and EAR regulations (preferred but not required).

MLOps Engineer (ML, Speech, NLP & Multimodal Expertise) We are looking to hire a MLOps Engineer with strong expertise in machine learning, speech and language processing, and multimodal systems. This role is essential to driving our product roadmap forward, particularly in deploying, testing, evaluating and monitoring our core machine learning systems and developing next-generation speech technologies. The ideal candidate will be capable of working independently while effectively collaborating with cross-functional teams. In addition to deep technical knowledge, we are looking for someone who is curious, experimental, and communicative. Key Responsibilities Essential • Design and maintain CI/CD pipelines for automated model training, testing, and deployment. • Build container orchestration solutions (Docker, Kubernetes) for model serving at scale. • Implement deployment strategies (blue-green, canary, A/B testing) for safe model rollouts. • Develop Infrastructure as Code (Terraform, CloudFormation) for reproducible ML environments. • Optimize model serving infrastructure for latency, throughput, and cost efficiency. • Manage model versioning, registry, and artifact storage systems. • Build real-time monitoring dashboards for model performance, latency, and resource utilization. • Implement automated alerting systems for model degradation and anomaly detection. • Design feature drift detection and data quality monitoring for production traffic. • Create feedback loops to capture user interactions and model effectiveness. • Develop automated retraining triggers based on performance degradation signals. • Track business metrics and ROI analysis for model deployments. • Create interactive dashboards and visualization tools for model performance analysis. • Build specialized inference pipelines for speech-to-text and text-to-speech models. • Optimize speech model performance for real-time and batch processing scenarios. • Design evaluation frameworks specific to speech quality metrics (WER, latency, naturalness). • Handle multi-modal data pipelines combining audio, text, and metadata. • Implement feature drift detection and data quality monitoring. • Design feedback loops to capture user interactions and model effectiveness. • Create automated retraining pipelines based on performance degradation signals. • Develop business metrics and ROI analysis for model deployments. • Implement experiment tracking systems (MLflow, Weights & Biases) for reproducibility. • Design hyperparameter optimization frameworks for efficient model tuning. • Conduct statistical analysis of training dynamics and convergence patterns. • Create automated model selection pipelines based on multiple evaluation criteria. • Develop cost-benefit analyses for different training configurations and architectures. Additional Responsibilities • Implement automated evaluation pipelines that scale across multiple models and benchmarks. • Design comprehensive test suites with statistical significance testing for model comparisons. • Develop fairness metrics and bias detection systems for speech models across demographics. • Perform statistical analysis of training datasets to identify quality issues and coverage gaps. • Create interactive dashboards and visualization tools for model performance analysis. • Build A/B testing frameworks for comparing model versions in production. • Build and maintain ETL pipelines using SQL, Azure, GCP, and AWS technologies. • Design data ingestion systems for massive-scale speech and text corpora. • Implement data validation frameworks and automated quality checks. • Create sampling strategies for balanced and representative training datasets. • Develop data preprocessing and cleaning pipelines for audio and text. Required Skills and Qualifications Essential Programming & Software Engineering • Python (Expert Level): Advanced proficiency in scientific computing stack (NumPy, Pandas, SciPy, Scikit-learn). • Version Control: Git workflows, collaborative development, and code review processes. • Software Engineering Practices: Testing frameworks, CI/CD pipelines, and production- quality code development. Machine Learning and Language Model Expertise • Traditional Machine Learning and Deep Learning Knowledge: Proficiency in classical ML algorithms (Naive Bayes, SVM, Random Forest, etc.) and Deep Learning architectures. • Understanding of Transformer Architecture: Attention mechanisms, positional encoding, and scaling laws. • Training Pipeline Knowledge: Data preprocessing for large corpora, tokenization strategies, and distributed training concepts. • Evaluation Frameworks: Experience with standard NLP benchmarks (GLUE, SuperGLUE, etc.) and custom evaluation design. • Fine-tuning Techniques: Understanding of PEFT methods, instruction tuning, and alignment techniques. • Model Deployment: Knowledge of model optimization, quantization, and serving infrastructure for large models. Additional skills Machine Learning & Deep Learning • Framework Proficiency: Scikit-learn, XGBoost, PyTorch (preferred) or TensorFlow for model implementation and experimentation.• MLOps Expertise: Model versioning, experiment tracking, model monitoring (MLflow, Weights & Biases), data monitoring, observability and validation (Great Expectations, Prometheus, Grafana), and automated ML pipelines (GitHub CI/CD, Jenkins, CircleCI, GitLab etc.). • Statistical Modeling: Hypothesis testing, experimental design, causal inference, and Bayesian statistics. • Model Evaluation: Cross-validation strategies, bias-variance analysis, and performance metric design. • Feature Engineering: Advanced techniques for text, time-series, and multimodal data. Data Engineering & Infrastructure • Speech Processing Libraries: Librosa, Torchaudio, SpeechBrain, Kaldi, Espnet • Feature Stores and Data Versioning: Feast, Tecton, DVC • Big Data Technologies: Spark (PySpark), Hadoop ecosystem, and distributed computing frameworks (DDP, TP, FSDP). • Cloud Platforms: AWS (SageMaker, Bedrock, S3, EMR), GCP (Vertex AI, BigQuery), or Azure ML. • Database Systems: NoSQL databases (MongoDB, Elasticsearch), graph databases (Neo4j), and vector databases (Pinecone, Milvus, ChromaDB, FAISS etc.). • Data Pipeline Tools: Airflow, Prefect, or similar orchestration frameworks. • Containerization: Docker, Kubernetes for scalable model deployment • Model Serving Frameworks: TorchServe, TensorFlow Serving, Triton • Infrastructure as Code Tools: Terraform, CloudFormation Collaboration & Adaptability • Strong communication skills are a must • Self-reliant but knows when to ask for help • Comfortable working in an environment where conventional development practices may not always apply:• PBIs (Product Backlog Items) may not be highly detailed • Experimentation will be necessary • Ability to identify what's important in completing a task or partial task and explain/justify their approach • Can effectively communicate ideas and strategies • Proactive and takes initiative rather than waiting for PBIs to be assigned when circumstances call for it • Strong interest in AI and its possibilities, a genuine passion for certain areas can provide that extra spark • Curious and open to experimenting with technologies or languages outside their comfort zone Mindset & Work Approach • Takes ownership when things don't go as planned • Capable of working from high-level explanations and general guidance on implementations and final outcomes • Continuous, clear communication is crucial, detailed step-by-step instructions won't always be available • Self-starter, self-motivated, and proactive in problem-solving • Enjoys exploring and testing different approaches, even in unfamiliar programming languages Where Your Career is Going: At TransPerfect, there are a lot of growth opportunities. All departments offer career growth and development that can combine your skills, interest and experience. We encourage our employees to have a continuous dialogue with management about growth opportunities throughout your tenure with the company. End your job search and find your career at TransPerfect #careers NOTjobs. Why TransPerfect: For more than 25 years, we have honed a culture where all kinds of ideas are shared and new ventures are not only welcomed, but also encouraged. In this fast-paced environment, employees are intellectually stimulated so they can grow alongside the organization. From Intern to President, we believe that every single employee should have a voice and contribute to the amazing services we offer our clients. We also offer a comprehensive benefits package including medical, dental, and vision insurance, 401k matching, membership to child-care providers, and other TransPerks. You even get your birthday off because let's face it, we're stoked that you were born. TransPerfect provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. TransPerfect is committed to all recruitment processes and workplace free from harassment, sexual harassment & discrimination. For more information on the TransPerfect Family of Companies, please visit our website at *********************

About Us: We are working with a mission-driven SaaS company dedicated to keeping people safe. They're passionate about public safety and strive to create innovative solutions that keep their customer's happy. Job Description: As a Senior Staff Engineer, you will play a crucial role in building and maintaining our cutting-edge web applications. You will work closely with our engineering team to design, develop, and deploy robust, scalable, and user-friendly features. Onsite in Tampa, FL Area Up to 220k base salary Responsibilities: Design, develop, and maintain backend applications using Ruby on Rails. Build user-friendly and responsive frontend interfaces using React. Collaborate with cross-functional teams to define and implement new features. Write clean, well-tested, and efficient code. Qualifications: Strong proficiency in Ruby on Rails, React, and React Native. Experience with relational databases (e.g., PostgreSQL). Solid understanding of JavaScript and web development fundamentals. Familiarity with RESTful APIs and microservices architecture.

Early-Stage Project Manager Daily activities can include, but are not limited to: Primary responsibility is to take ownership of and work independently to actively manage a portfolio of assigned Solar projects through the Early-Stage processes to include Screening, Diligencing and Early-Stage Pipeline in preparation for turnover to Late-Stage Project Management. Leverage technical, commercial, and financial expertise to support and guide the broader team towards overall project, business unit, and/or corporate targets. Analyze technical and financial data, extrapolate notable variables, indicators, and trends. Proactively investigate, calibrate, and integrate broader market impacts into your portfolio of projects. Daily management of each assigned Solar project is all-encompassing. You are wholly responsible for delivering a technically feasibility, schedule appropriate, commercially supported, and financially viable project. Serve as development and permitting support, coordinate with and leverage subject matter experts, facilitate Engineering, actively engage in problem resolution, proactively manage your capital budget thru approvals, develop a viable construction plan/schedule, negotiate and execute on commercial contracts, investigate optimization opportunities. Support in the creation of, take ownership over, and actively manage not only each individual Solar project capital budget, but balance +/- variances across your portfolio of projects. Engage in a variety of software applications to support your activities, manage critical data and deliverables as well as report on key indicators. Support the larger Early-Stage team with process, tool, and training initiatives. Actively communicate and interface with Executive Leadership, Suppliers, Regulatory Agencies, Local Communities, and other stakeholders. Preferred Qualifications: Construction, Energy Industry, and/or Solar experience is a plus Required Qualifications: Bachelor's Degree in Business, Finance, Accounting, or Engineering Project Management Experience Strong financial and data analysis skillset Mechanical awareness and/or interest in technical variables Highly Organized Proactive attitude Inherent ability to manage fast paced high stress environment Capable of working independently

Why Renovo? Renovo Solutions is a nationwide healthcare technology management company. We offer a range of opportunities for technicians to grow within the company. With a presence in 40+ states, we provide comprehensive solutions for managing & maintaining healthcare technologies. We prioritize investing in our employees' development, offering various phases and advancement paths. Through ongoing training, mentorship programs, and a supportive work environment, we foster professional growth and promote from within. Join our team to make a difference in healthcare while advancing your career with Renovo. Summary This is a dynamic position that is highly visible to Renovo HTM colleagues and customer stakeholders. As a subject matter expert in imaging equipment, this role will perform repairs, maintain, and document the work in RenovoLive (CMMS). This is a dedicated role to one hospital facility that will be full-time onsite. What you will do: This role will be responsible for general troubleshooting and electrical/mechanical repairs Leverage all standard test equipment for installations, calibrations, and planned maintenance: Multimeter Invasive and non-invasive X ray meter Oscilloscope Service software and keys Dosimeter Hand and power tools AC line analyzer Phantoms Read, analyze, interpret and follow signal flow on blueprints, schematics and wiring diagrams Maintain OEM equipment (for example: Siemens, Philips, GE, Canon, etc.) and record all work performed in Renovo's CMMS. Responsible for preventative maintenance and repairs to any of the following: CT, MRI, X-Ray, C-arms, Fluoroscopy, etc. Perform other duties as assigned under the leadership of a Renovo manager or supervisor Qualifications: 5+ years of experience Imaging repairs and using with test equipment Proficient with Microsoft and Google software applications (Word, Excel, Gmail, etc.) Leverage electrical and mechanical skills to complete daily tasks Interpret and utilize service manuals, schematics, and other applicable service information Perform/document planned maintenance and repair of the diagnostic imaging equipment and systems Demonstrate good organizational and communication skills Interact effectively with company personnel and clinical staff in accordance with Renovo's operational and personnel policies/procedures Exercise problem-solving and troubleshooting skills with all equipment and technology Understand all aspects of clinical applications and image quality requirements related to imaging equipment Education/Special Training: H.S. Diploma or equivalent required. College Degree or Technical Certification CBET, CRES, or OEM training preferred Required Competencies: Accountability - takes ownership of assigned work and responsibilities, follows through, and closes the loop Communication - clearly expresses thoughts and ideas both in written and verbal communications, provides timely information Financial Acumen - Considers financial impact of all decisions Integrity - Can admit mistakes, is direct and truthful Customer Service - demonstrates a “customer-first” mentality, focused on meeting the needs of customers and captures feedback to make improvements Priority Setting - Prioritizes assigned schedules and workload Sense of urgency - Possesses and displays a sense of urgency to internal and external customers Team Building - Mentors newer technicians, facilitates clear communication amongst the team, demonstrates care and respect for co-workers and colleagues Regulatory - knows the various accrediting agencies (TJC, DNV, CAP, DOH) and how the Medical Equipment Management Plan complies Giving Feedback - Provides constructive feedback towards department goals and activities, helps to foster growth within the team Safety Requirements: Abide and follow our Injury & Illness Prevention Program On-time completion of safety trainings assignments Physical Requirements: Must have near vision, far vision, depth perception, and be able to distinguish colors Must have sensory ability to distinguish hot, cold, range of temperature, surfaces, fine motor skills, manual dexterity, and detect/distinguish odors Must be able to carry or lift up to 50 pounds routinely (50% of the time) and on occasion (5% of the time) up to 100 pounds Must be able to push or pull over 100 pounds frequently (20% of the time) Maintains safe working environment for self, other associates, patients, visitors, and medical staff in accordance with applicable standards and procedures relevant to job duties Working Hours: Full-time schedule Mon-Fri. 40 hours per week. Overtime may be required or permitted with prior approval Will need to be available for after-hours service, emergency calls on weekends, part of the on-call schedule Classification: FLSA: Non-Exempt Note: This position description does not list every activity, duty, and responsibility of the position and may be altered by RENOVO at any time. EEO Statement RENOVO Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, RENOVO Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Employee signature below constitutes employee's understanding of the requirements, essential functions and duties of the position. Also, signature acknowledges that a change in duties with or without notice can occur at any time. Employee is an “at-will” employee, and this does not act as a contract of employment.

CEI is a rapidly expanding leading end-to-end Solutions provider driving transformation and innovation for our customers to help harness change to gain competitive advantage through Advisory Services, Custom Software Solutions, Application Management and Staffing Solutions. What we're looking for: CEI's Custom Applications Division is seeking a Lead Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. Responsibilities: Study and transform data science prototypes and apply appropriate machine learning algorithms and tools Run machine learning tests and experiments, and document findings and results Train, retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Qualifications and Requirements: Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Proven experience as a machine learning engineer or similar role Familiarity with Python, Java, and R Excellent communication and collaboration skills Innovative mind with a passion for continuous learning General knowledge of building machine learning systems Bachelor's degree (or equivalent) in computer science, mathematics, or related field

6+ Months 3 days onsite in Waltham We're looking for an infrastructure services engineer to join our ranks. An infrastructure services engineer will provide reliable and flexible support to all components of the infrastructure, including systems, networking, data center operations, cloud infrastructure, telecom, and others. This role will be dedicated to maintenance and management of these systems, as well as responding to all alerts to ensure maximum reliability. Key Responsibilities Performing regular changes to a wide variety of infrastructure components Administer and oversee all deployed systems and infrastructure Perform regular maintenance on all infrastructure systems, such as Server OS, VMWare, etc. Respond to system alerts generated during and after business hours Troubleshoot issues that arise on infrastructure components, and work closely with other Technology team to resolve ongoing problems Perform problem resolution, root cause analysis, and implement projects to reduce future issues Implement automation and scripting to reduce manual tasks Document systems and configurations for ease of support for other members of the team Be part of a 24x7 support team with on-call rotation Core Strengths and Skills 3+ years' experience with a variety of infrastructure tools (VMWare, Cisco, Windows Server OS, etc.) Experience with public cloud providers (AWS, Azure) and associated infrastructure management a plus Knowledge of networking protocols and technologies (DNS, DHCP, SNMP, TCP/IP) Solid knowledge of and previous experience using scripting technologies (PowerShell or Python) Thorough understanding of managing servers in large corporate settings, covering security protocols, compliance with policies, and handling exceptions or changes Excellent communication and documentation skills Ability to work well as part of a large team Proven ability to troubleshoot and resolve production issues while making sensible decisions in times of stress

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities : Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping, to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications : Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates.

Job Title:- Project Engineer (May go Longer) Shift:- Monday - Friday 8am to 5pm Hybrid 3 days/week onsite (Tues, Wed, Thurs) Travel Requirements Creating the future of mobility will include developing instrument panels and consoles that contain a wide array of next generation displays and electronics. You will balance a list of vehicle and occupant performance requirements while engineering the highly styled instrument panel and console. These are the major systems that a customer sees and touches daily. The project engineer is responsible for project design / efficiency / innovation, scope management, cost control, quality, and performance reporting. Job Responsibilities: • Design, development, analysis, implementation, and validation of the complex instrument panel and console subsystems will be your day to day duties. • Perform engineering design evaluations and concept development across vehicle programs • Utilize engineering tools (DFMEA, ICDs, PFMEA) and leverage CAE groups including Safety Performance to successfully develop the best system solution • Assessment of design to manufacturing processes (e.g. injection molding, vibration welding, vacuum forming, foam-in-place, wrapping) • Package components, manage CAD development through supplier or designers and collaborate with other systems within the vehicle (Thermal, Electrical, Body, Chassis, Restraints, etc.). Ensure best practices are incorporated in the CAD and seeks support when best practice not met. Schedule and lead Peer Reviews • Work cross-functionally to support initial vehicle configuration work, realize cost optimization, deliver customer-driven requirements, and implement product and process improvements • Balance business imperatives, including but not limited to cost, part count, mass, complexity, timing, and content • Communicate information to and from internal and external customer organizations (e.g. Creative Design, Purchasing, Manufacturing, Quality, suppliers) and lead the product development team (PDT). Track and resolve open issues with support. • Review, support and apply benchmarking for design direction competitiveness. • Lead execution through change management process to support workstreams and initiatives described above. • Support in the development of Statement of Requirements (SOR) Creation and lead in the development of statements of work, key partner for DFMEA/DRBFM/FEA • Lead launch activities for your program and commodity with a quality and on time execution mindset. Skill: • Demonstrated strong sense of ownership and urgency. • Proven project management experience. • Demonstrated ability to be flexible / adaptable in exercising judgment in a changing environment and to manage competing priorities. • Advanced knowledge of engineering principles and theory. • Strong written and verbal communication skills. • Proven ability to learn business processes quickly and to work well with business partners at different levels within the organization. • Strong ability to assess risk and apply management principles engineering and business functions. • Ability to work independently and manage one's time. • Established knowledge of production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods. • Established knowledge of business and management principles involved in strategic planning, and production methods. • Established knowledge of computer software, such as MS Word, MS PowerPoint, MS Excel, MS Project, CAD tools (eg VisMockup, UniGraphics, or others), etc. Education/Experience: • Bachelor's degree in engineering or related technical field. • PMI or PMP certification preferred. • 8-10 years of experience preferred from other OEMs and/other Cockpit suppliers. Degree requirement: Bachelor's degree in engineering or related technical field. Years of experience: 8-10 years of experience preferred from other OEMs and/other Cockpit suppliers. Nice to have: • PMI or PMP certification preferred, not required • Understand change management Leadership Not afraid to ask questions and be able to do more/try to challenge things and understand how to improve things (improve quality, cost effective) Program management - understands this and how to get things done Design development experience in IP and floor consults Experience leading projects, curious about how to improve and make a process better Understand basic engineering requirements and criteria, creating DFMEA and understanding DFMEA

Project Engineer (Change Management) - Onsite in Aiken, SC Duration: 12 months Work Authorization: USC/GC Only Seeking an experienced Project Engineer with a strong background in Change Management/Change Control, Engineering Quality, and Systems Engineering-specifically within nuclear and EPC environments. This is not a field construction role. The ideal candidate has engineering experience supporting construction and fabrication projects, not hands-on field construction. Basic Requirements Bachelor's degree in Engineering (4-year accredited degree required). 10+ years of related engineering or project experience. Experience in construction management, fabrication environments, or EPC projects. Strong experience in Change Management/Change Control. Strong communication skills to work with management, clients, vendors, and internal teams. Ability to apply technical knowledge, follow regulations, and manage documentation. Detail-oriented, organized, and able to work in time-sensitive environments. Preferred Qualifications 6+ years in engineering, procurement, fabrication, construction (EPFC/CM) environments. Experience working in nuclear industry projects. Background in risk assessment initiatives. Successful project engineering experience on at least two medium or large projects. Knowledge of engineering software tools and databases. Strong analytical, problem-solving, and technical writing skills. PMP certification (preferred but not required). Ability to adapt to changing environments and take on new challenges. Customer-focused mindset with the ability to build strong relationships.

Project Engineer II- Licensed (Electrical) CSArch, an A/E firm with offices in Albany and Newburgh, NY is currently seeking a full-time Project Engineer for the Albany office. The Project Engineer II has at least 5 years of experience as a Licensed Engineer (Electrical). The successful candidate should possess an Associate's, Bachelor's, or Master's degree of Engineering. The candidate must have at least 3 years of Revit experience. This position is primarily responsible for the technical engineering and production aspects of medium to large projects from conceptual design through construction closeout. SPECIFIC DUTIES AND RESPONSIBILITIES: Leads in-house building systems design / engineering team through development of design and construction documentation process. Could also provide Project Engineer support as part of a larger project team on larger projects. Develops and coordinates with all engineering disciplines and architecture team to produce construction documents. Involved in field investigations, detailed engineering design work and development of design computations. Oversees code compliance with applicable engineering codes, standards and guidelines. Informs, directs and trains engineers-in-training and less experienced project engineers relative to these. Develops and coordinates engineering technical specifications. Adheres to and implements corporate contract documentation procedures and standards as they best apply. Responsible for all engineering aspects of construction administration including but not limited to shop drawing/submittal review and coordination, attending project meetings, developing field reports, periodic monitoring of construction sites, interfacing with contractors and clients. Supports project management with development of staffing, fee, budget estimating and project scheduling. Ensures that Quality Control procedures are being met. Will supervise small engineering staff and could have significant client contact. REQUIREMENTS/QUALIFICATIONS: Licensure Requirements: Licensed Education Requirements: Associate's, Bachelor's, or Master's degree of Engineering in electrical engineering. Experience: Minimum 5 years experience as a Licensed Engineer Computer Skills: Revit- minimum of 3 years experience and other design/presentation software programs; MS Office proficient; use of Adobe products; Submittal Exchange Excellent written, verbal and visual communication skills Detail oriented; highly organized; self-motivated; able to exercise independent judgment, multi-task, delegate, plan, set goals, meet critical deadlines, be accurate, work under pressure; conflict resolution/negotiation skills; team building and leadership skills. 40+ hours M-F; overtime as necessary to meet deadlines, travel, driving, occasional lifting/carrying up to 40 lbs. Site observations may involve outdoor weather, year-round, moving mechanical equipment, climbing ladders/scaffolding and observing high area construction activities. Noise level is often loud. Background check may be required. Requires use of hardhat, construction boots, and possibly other safety equipment as required on a construction site.

Local General Engineering Contractor seeks a Project Engineer for paving, grading, and underground projects. Ideal candidate should possess a minimum of 2 years of related project management and/or estimating skills. RESPONSIBILITIES: The Project Engineer is responsible for ensuring construction work complies with safety, specifications, cost guidelines, reporting requirements and field engineering activities for assigned projects. Major focus will vary depending on project needs and priorities. Maintains positive relationships with owners, community members and project team members. DUTIES: Able to perform all essential Project Engineer responsibilities. Attend and document project meetings. Set up and maintain electronic filing system as needed. Update and maintain all drawings, specifications and logs. Maintain a site-specific safety plan and pre-task planning process, including audits, meeting, training, etc. Review, analyze, and transmit submittals. Prepare and maintain submittal logs and procurement log. Perform expediting functions. Cost code and/or verify correct codes on time sheets. Code Accounts Payable workflows as assigned. Verify original estimate quantities for labor cost reports. Report quantities in place and maintain labor cost report. Prepare and document extra work orders. Review and assemble change order submittals and quantity surveys. Maintain record set drawings. Document punch list work. Complete other responsibilities as assigned. MINIMUM SKILLS: Bachelor's Degree in Construction Management or related field of study 2 years' work and field experience preferred. Construction related internship experience preferred. Basic understanding of construction cost accounting, estimating, and scheduling skills. Experience with HCSS, HeavyBid, Procore ideal, not required. Ability to read and understand plans and specifications. Effective organizational skills, strong work ethic, and eager to learn. Valid driver's license and reliable transportation.