Machining Engineer jobs at Mastech Digital

Responsibilities: Oligonucleotide Manufacturing SME • December & January - Remote • Starting February - Onsite in Houston Duration: 6 months (with potential 1-year extension) Experience Requirements: • At least 7 years dedicated specifically to oligonucleotide manufacturing required. • Minimum 15 years of total industry experience • Strong background in developing User Requirements Specifications (URS) for a wide range of equipment more information available upon request. • Note: We understand a single SME may not be deeply specialized in every equipment type listed, but we are prioritizing candidates who have experience with the majority of the relevant equipment. Scope of Work: • Support the project team by developing User Requirement Specifications for multiple equipment systems in the Oligonucleotide manufacturing space.

Job Title: Machine Learning Data Engineer Duration - 12+ months ---------------------------------------------------- We are seeking a detail-oriented Machine Learning Data Engineer to join our team. As an ML Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and load data from various sources into our cloud-based systems. You will work closely with machine learning teams to ensure that data is accurate, enriched, reliable, and readily available for analytics and model training. Responsibilities: Design and Build Data Pipelines: Create efficient, reliable, streamable, and scalable data pipelines using industry-standard tools and techniques, such as TorchData, WebDataset, Apache Parquet., Python, and SQL. Data Ingestion: Develop strategies for ingesting data from data providers, ensuring data quality and consistency. Data Pre-processing: Implement parallel pre-processing to clean, transform, de-duplicate, combine and normalize data. Data Curation and Enrichment: Curate, augment, and enrich existing datasets to improve data quality and provide valuable insights to stakeholders. Synthetic Data Generation: Collaborate with synthetic data teams to generate data and incorporate into existing pipelines. Collaboration with ML Teams: Work closely with ML scientists, engineers, and product teams to understand data requirements, and collaborate on data delivery. Monitoring, Maintenance & Updating: Monitor data pipelines for performance, errors, and bottlenecks, and implement regular maintenance and updates. Stay updated with the latest trends and incorporate best practices into data pipelines. Technical Documentation: Document data pipelines, settings, and procedures for easy maintenance and knowledge sharing. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 3 years of experience as a Software Engineer or Data Engineer. Strong software engineering skills, proficiency in Python Experience with data processing tools and formats such as Apache Parquet, WebDataset, TorchData, Pandas, Shell Scripting, Protobuf, TFRecord Knowledge of data warehouse architectures and cloud-based systems (e.g., AWS S3). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Preferred Qualifications: Master's degree in Data Science or a related field. Experience with data curation and enrichment techniques, particularly for large scale text, image and video data Familiarity with natural language processing (NLP), machine learning (ML) concepts and frameworks (PyTorch) Location: Seattle, WA (in-person 3 days/wk, remote 2 days/wk)

Our client is seeking a Computer Vision/ Machine Learning Engineer to join their team! This position is located in Orlando, Florida. Design, develop, and maintain scalable decision science pipelines and tools that support AI/ML, optimization, statistical, and simulation models, enabling other data scientists to deploy and monitor models efficiently Build configurable, modular, and reusable solutions that streamline development and operationalization of AI/ML systems Develop new tools and capabilities to deploy, host, and serve decision science models at scale with high availability, performance, and reliability Collaborate closely with cross-functional teams, presenting designs and advocating adoption of reusable AI/ML components Drive innovation and experimentation while maintaining high standards for code quality, system design, and documentation Interpret system requirements and architectural documents, adapting designs to deliver effective, cutting-edge solutions Troubleshoot complex CI/CD, integration, and system issues, ensuring smooth model deployment and operational stability Follow engineering best practices and operational standards to ensure maintainable, high-quality, and reliable code Contribute to the broader technical community through knowledge sharing, presentations, and cross-team collaboration initiatives Desired Skills/Experience: Master's degree in Computer Science, Engineering, or related field is preferred 4+ years of experience in AI/ML, Python development, and decision science engineering Strong proficiency in Python and libraries like Scikit-learn, Pandas, SciPy, Keras, TensorFlow, PyTorch Experience with AI/ML models, including LLMs, Knowledge Graphs, deep learning, and neural networks Familiarity with prompt engineering, agentic workflows, and scalable system design Knowledge of databases and distributed computing and Knowledge Graphs Experience with modern development tools, CI/CD, containerization, cloud platforms (AWS), Agile, and MLOps/DevOps practices Strong problem-solving, communication, and collaboration skills, able to work effectively in a matrixed organization Experience developing Streamlit or RShiny applications is a plus Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $56.00 and $80.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Job Title: Artificial Intelligence/Machine Learning Engineer I. Type: Hybrid - Onsite 4 days per week. Long term Contractual: Starts with 12 Months - Extendable /Renewable. Work Authorization: Candidates must be authorized to work in the U.S. without current or future sponsorship requirements. Job Description: Data Management & Preparation. Gather, clean, and preprocess both structured and unstructured data for use in AI/ML workflows. Apply data governance standards, conduct quality checks, and handle metadata management tasks. Manage large datasets utilizing SQL, NoSQL, and distributed data technologies. AI/ML Development. Build, train, and validate machine learning models using tools such as AutoML, deep learning, and reinforcement learning frameworks. Enhance models for improved performance, scalability, and accuracy. Employ feature engineering and model evaluation strategies. Architecture & Integration. Support the design of AI/ML architectural solutions that comply with enterprise guidelines. Deploy models into production settings by leveraging APIs, microservices, or containerized approaches. Aid deployments on cloud services (AWS, Azure) and make use of MLOps methodologies. Collaboration & Documentation. Collaborate with multidisciplinary teams, including data engineers, analysts, and business partners. Maintain records of workflows, models, and architecture choices to facilitate knowledge sharing. Minimum Yrs of Experience, Skills, and Qualifications: 2 years of AI/ML development. 2 years of data management experience. 2 years experience using Python and associated libraries (Pandas, NumPy, TensorFlow, PyTorch). Solid grasp of data structures, algorithms, and relational database concepts. 1 year experience with cloud platforms (Azure/AWS/GCP) and container technologies (Docker/Kubernetes). Excellent problem-solving abilities and communication skills. Regards, Purnima Pobbathy Senior Technical Recruiter ************ | ********************* |Themesoft Inc |

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: 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. For more information or to view other opportunities, visit us at ******************* Paladin Consulting is an EEOC employer.

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.

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.

We are seeking a skilled Mechanical Engineer to design and develop sheet metal enclosures and packaging solutions for PCB assemblies and power supplies used in military and aerospace applications. This role requires expertise in precision sheet metal design, thermal management, and ruggedized packaging that meets stringent military specifications and aerospace standards. Key Responsibilities Design and develop sheet metal enclosures, chassis, and packaging solutions for PCB assemblies and power supply units intended for military and aerospace applications. Create detailed 3D CAD models and 2D manufacturing drawings using industry-standard software, ensuring designs are optimized for sheet metal fabrication processes including forming, bending, stamping, and welding. Perform thermal analysis and design appropriate cooling solutions such as heat sinks, ventilation patterns, and thermal interfaces to ensure components operate within specified temperature ranges in harsh environments. Ensure all designs comply with relevant military standards (MIL-STD-810, MIL-STD-461, MIL-DTL-901) and aerospace specifications, including shock, vibration, EMI/EMC shielding, and environmental sealing requirements. Collaborate closely with electrical engineers to understand PCB layouts, component placement, connector requirements, and electrical grounding needs. Select appropriate materials and finishes that meet corrosion resistance, weight limitations, and durability requirements for the intended operating environment. Develop prototypes and coordinate with manufacturing teams and external vendors to ensure designs are manufacturable, cost-effective, and meet quality standards. Conduct design verification testing including shock, vibration, thermal cycling, and environmental testing. Support qualification and certification processes required for military and aerospace applications. Participate in design reviews, failure analysis, and continuous improvement initiatives. Required Qualifications Bachelor's degree in Mechanical Engineering or related field with 3-5 years of experience in sheet metal design for electronics packaging. Proficiency in 3D CAD software (SolidWorks, CREO, or similar) with strong understanding of sheet metal design principles and manufacturing processes. Knowledge of military specifications (MIL-STD) and aerospace standards applicable to mechanical design and electronics packaging. Experience with thermal analysis tools and understanding of heat transfer principles in electronic systems. Strong understanding of materials selection, particularly aluminum alloys, stainless steel, and specialty coatings for harsh environments. Familiarity with EMI/RFI shielding techniques and grounding requirements. Ability to read and interpret electrical schematics and PCB layouts. Experience with GD&T and creating detailed manufacturing drawings.

Precis Engineering + Architecture (Precis) (************************** offers comprehensive design services to our clients in the pharmaceutical, biotechnology, higher education, industrial, commercial, critical utility, and healthcare markets. Together, we design and create important buildings, facilities, and environments that improve and save lives. Precis is recognized for our design expertise and proficiency in providing strategically sensitive and technically complex engineering and architectural services. The Mechanical Department is regularly engaged in Lynn broad spectrum of projects that require creative solutions to challenging building systems and utility issues. This offers an excellent environment for employees to rapidly expand their knowledge and understanding of the key role engineering plays in the success of building renovations and new construction projects. Precis is currently seeking Lynn Senior Mechanical Engineer for our Ambler, PA office. This individual must have Lynn background in Mechanical/HVAC Engineering and Lynn basic understanding of engineering practice within highly regulated industries. We are looking for Lynn resourceful and goal-oriented individual who desires challenging work in Lynn dynamic environment. Responsibilities: Provide mechanical engineering services to design and oversee the design of complete mechanical/HVAC systems supporting facility expansions, renovations, remediation, and new construction projects from concept through detailed design and construction, including equipment, ductwork, piping, building automation, and related building components. Receive supervision and guidance relating to overall objectives, critical issues, new concepts, and policy matters. Receive direction on unusual conditions and developments. Independently apply extensive and diversified knowledge and use advanced techniques in the modification or extension of standard procedures and design criteria to complete assignments, including the development of details, control sequences, and specifications. Assist upper-level management to develop new techniques and improve standards and processes. Supervise all staff necessary to complete project assignments in alignment the defined scopes, schedules, and budgets. Provide thorough review of project documents for conformity with project assignments and quality assurance. Interact with client representatives, equipment vendors, contractors, project managers, and other project team members to coordinate deliverables and breadth of the mechanical design. Periodically visit project sites to survey existing conditions and observe construction activities. Requirements: Bachelor of Science degree in Mechanical or Architectural Engineering Minimum 8 years industry engineering experience Strong computer literacy with advanced knowledge and use of Excel, Word, Outlook, and Teams Advanced written & verbal communication skills Advanced knowledge of applicable codes and industry standards and guidelines Experience with critical environments and related building systems Professional Engineer license

The Design Engineer will work with a team that is responsible for the design, performance, and manufacturability of all client products. They will use clients product technology, engineering experience, and structural analysis to design robust, value driven products that meet customer specifications. The engineer will work toward department efficiency through standardization of products and automation of processes. Duties: Design and engineer custom products that provide maximum value to the customer and our company by improving product performance, installation, and manufacturability Lead the Design staff in producing value driven designs that meet customer specifications Collaborate with the sales team to provide preliminary calculations and/or design considerations prior to quoting Calculate and evaluate loads and perform structural analysis of products Increase Engineering Department efficiency through the standardization and automation of repetitive engineering practices Review fabrication drawings to provide welding sequences and recommendations for structural end connections and custom components. Generate innovative and efficient design and fabrication methods to assist in the development of the engineering department. Support manufacturing staff by providing technical, quality, safe handling, rigging, and production solutions. Collaborate with third party engineering firm to discuss and resolve different design methodologies. Assist in the creation of documents, calculators, charts, etc. that will increase efficiencies and standardize processes, further defining engineering/design limitations. Coordinate with vendors and machine shops to ensure custom fabrication meets the design intent. Conduct in-house product testing, record test data, and generate performance reports. Conduct meetings for project planning and design review of custom concepts, components, and designs. Basic Qualifications: Bachelor's degree in Mechanical, Structural, or similar engineering discipline from an ABET accredited university Experience utilizing CAD based drafting/engineering software: Solidworks An understanding of engineering design principles relating to steel and aluminum structures and connections Understanding of mechanical interfacing of parts and assemblies Works well in a team setting by listening to others' ideas and providing valuable input to work towards a common goal Ability to adapt to frequent changes, manage competing demands, and delays or unexpected events while maintaining completion dates Strong facilitation and cross-functional collaboration skills Strength in prioritizing tasked activities while maintaining accuracy and completeness Preferred Qualifications: Experience with SolidWorks and/or RISA 3D Understanding of welding principles Background working in steel manufacturing environment

PTS Advance is seeking an experienced MEP Mechanical Design Engineer to join our growing team. The ideal candidate will have a strong background in mechanical building systems design and proven expertise in Revit for modeling and documentation. You'll play a key role in developing HVAC, plumbing, and piping designs for commercial, industrial, and institutional projects. Key Responsibilities: Design and develop mechanical systems for building projects, including HVAC, plumbing, and piping. Create and coordinate 3D models and detailed construction documents using Revit. Collaborate with multidisciplinary teams, including architects, electrical engineers, and contractors. Perform load calculations, equipment selection, and system layouts. Ensure designs meet applicable codes, standards, and client specifications. Support project lifecycle from concept through construction administration. Qualifications: Bachelor's degree in Mechanical Engineering or related field. 10+ years of experience in MEP mechanical design (commercial or industrial preferred). Proficiency in Revit required. Strong understanding of mechanical building codes and standards. Excellent communication and teamwork skills. Professional Engineer (PE) license is a plus.

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.

Key Responsibilities Advanced Troubleshooting & Repair Diagnose and resolve complex issues in CNC machines involving mechanical, electrical, pneumatic, hydraulic, and software systems. Machine Installation & Commissioning Oversee full installation of CNC equipment, including calibration, leveling, alignment, and integration into production environments. Preventive Maintenance Develop and carry out preventive maintenance routines to maximize machine lifespan and performance. Mentorship & Training Guide and support junior technicians (Level 1 and 2), sharing best practices and troubleshooting techniques. Customer Support & Consultation Serve as a technical resource for customers, recommending machine upgrades, operational improvements, and support solutions. CNC Software & Controls Program and troubleshoot major control systems such as Fanuc, Siemens, Mazak, and Heidenhain. Perform firmware and software updates as needed. Documentation & Feedback Maintain detailed service logs and diagnostic reports, and share insights with engineering and technical teams for product improvement. Emergency Response Provide timely responses to urgent service needs, minimizing downtime at customer facilities. Compliance & Safety Ensure strict adherence to safety standards, industry regulations, and customer-specific protocols during all service activities. Requirements & Qualifications Strong knowledge of CNC machinery operation, electrical schematics, and mechanical systems Proficient in troubleshooting and programming control systems: Fanuc, Siemens, Mazak, Heidenhain Familiarity with servo motors, drives, PLCs, and industrial automation Experience with laser calibration, ball bar testing, and precision alignment Excellent communication skills for customer interaction, documentation, and team collaboration Proven ability to mentor and lead field service projects Education & Experience Associate's or Bachelor's degree in Mechanical, Electrical, or Industrial Engineering, or equivalent hands-on experience 8-10 years of experience in CNC service and repair, with a strong focus on diagnostics and troubleshooting Solid electrical background with the ability to read and interpret schematics and technical drawings Experience training customers on machine operation and maintenance Travel Requirements Up to 50% travel, including overnight stays as required Frequent visits to customer sites within assigned territory Must have reliable transportation and a clean driving record Physical Requirements Ability to lift up to 50 lbs Comfortable performing physical tasks including bending, twisting, crawling, and climbing step ladders (up to 8 feet) Capable of driving to job sites daily

Job Title: Engineer Mechanical 2 Duration: 06 Months Contract (Possibility of extension) Payrate : $63 -$66 per hour on w2 basis without any benefits/holidays/vacations Description We have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have fun along the way. Our client is looking for a Mechanical Engineer - Missile System Design to support our Mechanical Engineering Department. Essential Functions: Based on specific stated objectives, performs mechanical analysis, mechanical CAD design, or mechanical test of one or more complex materials, structural components or functional systems of missile system products. Use advanced structural and product design engineering software tools along with CAD software, preferably Siemens NX. Knowledge of GD&T principles and application to designs Applies engineering principles to adapt or improve upon heritage features from previous successful designs of a similar nature Demonstrates a willingness to seek creative, new, and different ways to accomplish outcomes Perform engineering design, development, analysis, and/or test activities to support assigned projects Develop test programs as needed to evaluate system elements, such as materials, structural components, etc. Manage test activities and test article fabrication, including documentation of results Ability to communicate project status, analysis/test results through written reports or presentations to internal and external customers. Basic Qualifications: Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 2 years of related engineering experience; OR a Master's degree in STEM with 1 year of related engineering experience. Active US DoD Secret Security clearance, or higher Preferred Qualifications: Master's in Aerospace or Mechanical engineering Solid written and verbal communication skills Hands-on Mechanical Integration Experience preferably in Aerospace field Thank you!

Job Title - Mechatronics Engineer Job Duration - 12 months Responsibilities: ● Design & Prototyping: Contribute to the mechanical and electromechanical design of robotic components, including actuators, sensors, transmission systems, and test fixtures. ● System Integration: Hands on assistance in integrating hardware and software subsystems for robotic systems. ● Research & Development: Support the development and implementation of Client mechanisms, sensing strategies, and control algorithms. ● Testing & Validation: Design and build subsystem test fixtures, data acquisition, create test plans, perform tests, measure and analyze data, and refine design assumptions. o Troubleshooting root-cause of mechanical failures, implementing improved designs, testing effectiveness of change. ● Collaboration: Work closely with researchers, software engineers, and external partners to iterate on designs and incorporate feedback. ● Documentation: Prepare technical reports and design documentation to share findings and support future development. o Building and maintaining BOMs and as-built configuration management. ● Perform Finite element analysis, static structural Minimum Qualifications ● Bachelor's degree in Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or related field. ● 5+ years of hands-on experience in mechanical design, robotics or mechatronics. ● Proficiency in CAD (SolidWorks, NX), rapid prototyping, and mechanical design for robotics. ● Strong background in actuator selection, sensor integration (force, tactile, position), and embedded systems. ● Ability to work independently and as part of a collaborative research team. ● Experience in Finite Element Analysis (FEA) Nice to have Qualifications ● Master's or PHD in Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or related field. ● Strong background in actuator selection, sensor integration (force, tactile, position), and embedded systems. ● Experience with real-time control systems (C/C++, Python, ROS) and hardware-software integration. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Sandeep Kumar Email: ********************************* Internal Id: 25-54945

Lead Product Security Engineer (R&D) Hybrid in Sorrento Valley - 3 days onsite What you will do: Maintain vigilance on industry security threats and manage risks according to established procedures. Define security requirements and controls based on use cases and threat models. Collaborate with cross-functional teams to integrate security into the product lifecycle. Establish automated processes for vulnerability scanning and remediation. Who you are: Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field. 8-12 years of experience in product security or cybersecurity engineering. Demonstrated competency through certifications (e.g., CISSP, CompTIA Security+). Strong interpersonal and communication skills for cross-functional collaboration. Preferred: Experience in FDA-regulated environments and familiarity with cybersecurity standards (NIST, HIPAA, GDPR, etc.). Proficiency in scripting and test automation (PowerShell, Python). Knowledge of secure architecture design and incident response processes. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $170k to $195k per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. Please email your resume to sshields@provenrecruiting.com if you'd like to work alongside some of the finest Engineers in the Life Sciences industry! Note: We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Manufacturing Engineer - Up to $110k/annually DOE! is a direct hire opportunity! Integrity Trade Services is hiring a Manufacturing Engineer for our manufacturing client to start immediately at up to $110k/annually DOE! Receive comprehensive benefits through our client upon hire! Responsibilities: The Manufacturing Engineering role is responsible for driving manufacturing performance through strategic leadership and targeted improvement initiatives. This position leads efforts to enhance throughput, minimize inventory levels, and lower operating costs. The individual will engage and guide team members in reducing labor expenses by applying cellular manufacturing techniques and introducing innovative methods and equipment. The role also includes analyzing data to identify inconsistencies, implementing corrective actions, documenting technical findings and reports, and maintaining effective customer relationships both internally and externally. Customer Liaison: Interprets and communicates customer specifications, ensuring technical and operational alignment. Serves as the main contact for customer technical requirements both inside and outside the organization. Creative Facilitator: Promotes problem-solving and cultivates an environment that encourages innovative thinking and continuous improvement across technology, processes, and methodologies. Boundary Spanner: Acts collaboratively across departments and functions to remove silos and barriers; supports the overall success of the organization by taking a holistic approach and fostering interdepartmental cooperation. Developer: Coaches and mentors engineers and team members of all levels to foster professional growth, encourage knowledge sharing, and ensure success across manufacturing and automation teams. Communicator: Handles challenging conversations tactfully, sets and clarifies expectations, simplifies complex topics for broader understanding, and provides detailed insights when needed. Influencer: Builds an engaging and motivating environment, represents business priorities effectively, practices approachability, and manages conflict constructively. Business Minded: Focuses on initiatives that produce measurable business results, championing quality and managing customer demands while maintaining balance and strategic boundaries. Adaptable: Responds effectively to change and unforeseen challenges, maintaining focus on key objectives and addressing issues swiftly to keep operations on track. Job Responsibilities Provide technical leadership to both manufacturing engineering and automation teams. Mentor and develop engineers to strengthen technical capabilities across the department. Align engineering objectives with production, quality, and overall business goals. Partner with cross-functional teams-including Quality, Maintenance, Production, and Supply Chain-to address and resolve technical challenges. Develop, refine, and optimize casting processes for consistent, high-quality product output. Lead root cause analysis and implement corrective actions for process variations or yield losses. Employ Lean Manufacturing and Six Sigma methodologies to minimize scrap and enhance throughput. Identify, evaluate, and integrate emerging technologies such as additive manufacturing for tooling/cores or artificial intelligence for process monitoring. Recommend and manage equipment upgrades or automation improvements to optimize process stability and operational efficiency. Location: Whitehall, MI Schedule/Shift Details: First Shift Overtime as needed. Qualifications: Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or Operations Management from an accredited institution. Minimum of 5 years of experience in a relevant manufacturing engineering role. Must be legally authorized to work in the United States; employment verification required at the time of hire. Visa sponsorship is not available. Preferred Qualifications: Proven experience in Continuous Improvement, Waste Elimination, and Kaizen initiatives. Strong analytical, problem-solving, and organizational skills, including proficiency with 5 Whys, Trucker's Log, and A3 Thinking. Demonstrated leadership ability to cultivate an engaged and high-performing workforce. Skilled in delivering professional presentations and addressing inquiries from customers, leadership, and peers. Proficiency in reading blueprints and familiarity with CAD design tools. Experience in conducting time studies, setting labor standards, and identifying opportunities for new equipment integration in a manufacturing setting. Technical leadership capability to guide and support manufacturing operations effectively. Previous experience within the investment casting industry preferred. Solid financial acumen and business understanding. Benefits: Medical, Dental, Vision PTO 401k

SME with a deep technical expertise in all systems under his/her responsibility (GMP HVAC, GMP Utilities and ancillary systems associated within their facilities), understanding their applications in pharmaceutical manufacturing, well versed with flow charts and process parameters, and awareness of industry trends. · Ensure the assigned processes are in alignment with the applicable regulatory Industry and Client's Standards. · Support risk assessment exercises using the different tools available (eg.FMEA) and participate as required in teams, committees, or other groups and/or individually to achieve the departmental, site and/or company goals. · Lead or participate in projects/changes for all the systems under his/her responsibility including design, verification activities (IV/OV/PQ), as user representative for capital projects or delivery agent for local projects. · Develop the proper documentation (URs, Specification, test cases, etc..) to demonstrate that systems are properly installed, qualified and started up and that remains in a controlled state. · Monitor utility systems and maintain KPI's to assure that they are operating properly, in compliance with requirements. · Provide written instructions for the proper way to operate and maintain the equipment and process to assure that the system operates within the controlled parameters. · Implement efficient and effective maintenance and reliability techniques. · Apply problem solving skills by leading equipment failures, troubleshooting, demonstrating RCA lead investigator proficiency and guide operations personnel in the resolution of process issues. · Provide customer consultation and notifications on issues that involve utilities areas. Assure that all necessary items are identified on the proper tracking systems, and make sure that items are completed by the required date. · Provide technical assistance as necessary to maintenance, and operations personnel. · Support internal and external inspections and investigations (including Quality and HSE). · Maintain efficient communications with appropriate site customer groups. · Proficiency with the DMS and CAPA systems. · Maintain, develop, and conduct operations training of utility systems. · Utilize statistical analysis tools to determine the process control, and capability for investigations. · Participate in Process Hazard Review meetings and/or Safety Teams as required by leadership Education/Experience · Bachelor's degree in engineering or relevant sciences and 4 years of experience with GMP Utilities Experience with Air Compressors, chilled water, steam boilers, Air Handling Units, heating hot water, waste water) and clean utilities (Clean compressed air, Water for Injection, Nitrogen, Clean Steam). · Start-up experience preferred. · Advanced degrees or certification relevant to the role is a plus. · Ability to think strategically and tactically (detail-oriented). · Strong collaborative and influencing skills, and ability to work well in a cross-functional, matrixed environment. · Demonstrated ability to work in a fast-paced team environment, meet deadlines, and prioritize work. · Proven track record of being self-motivated and capable of working with cross-functional teams while remaining positive towards project challenges.