Manufacturing Engineer jobs at Sumitomo Electric Carbide

Your future duties and responsibilities Lead end-to-end SAP S/4HANA Plan-to-Manufacture (PTM) solution design and configuration, leveraging S/4HANA manufacturing best practices and simplification items. Conduct Fit-to-Standard workshops using S/4HANA scope items; analyze business requirements and map them to standard S/4HANA capabilities with minimal customization. Own the complete implementation lifecycle, including build and configuration, integration testing, UAT, go-live, and hypercare. Serve as the primary point of contact for US stakeholders, providing clear status updates, risk identification, and decision inputs. Lead and mentor offshore teams, review functional designs, and ensure configuration alignment with S/4HANA architecture and data models. Ensure seamless integration of S/4HANA PTM with other SAP modules and systems (MM, QM, EWM, FI/CO), following S/4HANA integration principles. Enable end-user training using a train-the-trainer approach working with the Client OCM team to support change adoption. Possess a working knowledge of ABAP and Basis to effectively collaborate with technical teams (good to have). Support go-live and hypercare, ensuring a smooth transition to steady-state operations and support. Required qualifications to be successful in this role At least 12+ years of hands-on SAP experience with a strong focus on S/4HANA Plan-to-Manufacture / Production Planning, including at least one end-to-end S/4HANA implementation or conversion project. Proven experience leading Fit-to-Standard workshops, solution design, and stakeholder discussions in an S/4HANA environment. Strong onsite leadership skills, with experience coordinating onsite-offshore teams, managing client relationships, and driving delivery for complex SAP programs. Excellent communication, problem-solving, and analytical skills, with the ability to translate business requirements into standard S/4HANA solutions and best practices. Exposure to Agile / SAFe methodologies is a plus. Education: Bachelor's degree in computer science or related field.

Senior Supply Chain Data / Full Stack Engineer Engagement: Contract (CTH possible for the right candidate) Experience Level: Senior (5+ years) About the Role We are looking for a Senior-level Data / Full Stack Engineer to support inventory management and supply chain initiatives within a large enterprise environment. This role will be highly hands-on and focused on solving real-world inventory and supply chain problems through data analysis, optimization, and scalable technical solutions. While the initial focus is heavily centered on inventory management, this role may expand into broader supply chain and logistics use cases over time. Key Responsibilities Work day-to-day on inventory and supply chain problem-solving initiatives. Analyze and optimize supply chain and inventory data to improve efficiency and decision-making. Design, build, and support data-driven applications and solutions. Partner with cross-functional teams to understand business challenges and translate them into technical solutions. Contribute to optimization, modeling, and analytical efforts related to supply chain performance. Support large-scale enterprise systems and data platforms. Required Skills & Experience 5+ years of professional experience in a data engineering, data science, or full stack engineering role. At least 3 years of experience solving supply chain and/or inventory management problems. Strong hands-on experience with: SQL, Python, Palantir, Databricks Background working in large enterprise environments. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Nice to Have Experience with AI or machine learning applications in supply chain or logistics. Broader logistics or end-to-end supply chain experience. Exposure to optimization or advanced analytics use cases.

We are seeking an experienced and dynamic Manufacturing Manager to oversee daily operations within our manufacturing facility. The ideal candidate will lead production teams, ensure quality standards, and optimize manufacturing processes to meet company goals. This leadership role requires strategic planning, excellent communication skills, and a strong understanding of manufacturing systems. The Manufacturing Manager will play a key role in driving efficiency, safety, and continuous improvement across all production activities. Direct hire, Located in Placentia, CA 92870 Offering $110K-130K DOE Duties Monitor all manufacturing operations and processes to ensure compliance to ISO 9001 and safety standards. Analyze operating reports and plan for annual budgets to support business needs that help to meet or exceed company targets and goals. Maintain a safe work environment and follow all safety regulations Oversee daily floor manufacturing operations, while mentoring manufacturing Supervisors and Process Engineer to support you with daily task and activities. Use Strategy Deployment to develop and create a continuous improvement mind set with a focus on safety, first pass reliability, decreasing scrap, and increasing efficiency. Support manufacturing departments to help with inventory management, equipment maintenance, and material management in the plant. Support the quality department to establish best in class quality and establish standard processes and training for all plant personal. Analyze operating expenses and look for ways to reduce costs in our production and labor cost. Responsible for ensuring conflicts are managed and resolved among departments and employees. Responsible for hiring and training new employees along with performance managing employees to meet company standards. Support the maintenance department activities to help reduce downtime on machines and keep the facility in excellent working condition. Ensure all legal requirements, company safety procedures, and local and state health and safety regulations are met. Maintain a safe work environment through training, equipment, and process improvements. Develop and communicate productivity and efficiency goals and plans to meet those goals Establish cost control programs to meet or beat budgeted/forecasted levels in staffing and manufacturing expenses. Responsible for continuous improvement in manufacturing operations to ensure quality products - minimize defects and control waste and scrap. Establish and achieve scrap/material usage variance goals. Develop and implement programs to reduce material costs through better production methods in Compounding, Casting, Coating, and Converting. Experience Bachelor's Degree in an engineering discipline or related field. 5 years' experience in a manufacturing organization. 3 years' experience in a supervisory/management experience. Understanding of a processing related environment (example: coating, roll to roll printing and extrusion concepts). Demonstrate strong leadership, team building and advanced coaching skills. Experienced in talent development ability to motivate people, assess, and develop employee skills. Demonstrated understanding of the principles and applications associated with manufacturing operations, maintenance and engineering. Excellent planning and organizational skills, with the ability to balance production and maintenance needs. Excellent interpersonal communication and listening ability. SAP experience Six Sigma, Lean Certifications a plus. Must demonstrate strong critical thinking and problem-solving skills. Excellent communication skills required (interpersonal, verbal, written, listening, presentation). Must have the ability to communicate effectively with all levels of organization and external suppliers and customers. Basic to advanced computer skills in MS Office Positive outlook, professional demeanor, with a strong work ethic, that includes attendance, organization, accuracy, attention to detail, good judgement, and discretion. Personally guided by, espouses, communicates, works with, and through, values of integrity, excellence, inspirational, teamwork and accountability

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.

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

Status: full-time direct hire, 100% on site Compensation: $70,000 to $90,000 DOE The Industrial Engineer is specifically responsible for developing and supporting the production process of all assembly operations. This role will work as part of a team designing manufacturing (DFM), perform production yield and efficiency improvements, and tooling design. This role will directly support the equipment and processes needed for PCBA production. Job Responsibilities Include: Optimize and configure processes and equipment for building surface mount electronics assemblies. Perform design of experiments (DOE) to optimize SMT process yield. Specify equipment requirements for new PCBA build processes. Develop design for manufacturability (DFM) guidelines for PCBA Designs. Provide solutions to streamline circuit board assembly and test processes. Reflow soldering, Selective soldering, and Conformal coating Facilitate a close relationship with the engineering team during design, build, and test to provide design feedback Lead efforts to uncover root-cause and develop a permanent resolution on issues found during production Develop a robust set of test machinery that includes critical spares for ensuring complete uptime. Determine schedule impacts for unforeseen design or process changes in production Provide clear communication between the design engineering team and the production floor Concerning product tooling, confer with engineering teams and suppliers to ensure efficient production methods and schedules Utilize lean manufacturing tools; recommend improvements in production methods, standards, tooling, equipment, layout, procedures, product designs, and employee efficiency Support the transition of products from development to volume production Work with the design team in response to manufacturing problems, parts obsolescence, and minor requirement changes Prepare and maintain documentation required to ensure efficient production Participate in design reviews to conduct DFM and DFT recommendations with innovative and cost-effective solutions. Other Duties as Assigned. Education Requirements and Ideal Experience Includes: Bachelor's degree in engineering 3+ years of direct experience working in SMT or PCBA process engineering desired. Hands on experience with optimizing SMT pick and place, reflow oven, conformal coating, or through hole soldering systems Strong work ethics and a drive to succeed is required. Ability to work in a fast paced, autonomously driven, and demanding start-up atmosphere. Excellent communication skills, both written and verbal, are required. Must be able to work extended hours and/or off shifts in support of production demands.

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 Engineering Technician - 2nd Shift & 3rd Shift Our client is seeking a dedicated and skilled Manufacturing Engineering Technician - 2nd & 3rd Shift to join their growing team. In this pivotal role, you will play an integral part in supporting manufacturing processes, troubleshooting equipment, and ensuring optimal performance across a range of systems. If you thrive in a fast-paced environment and have a passion for hands-on problem-solving, this opportunity is perfect for you! Key Responsibilities Assist with the calibration, testing, setup, and repair of various controls, instruments, and gauges used in the manufacturing process. Monitor equipment performance, making necessary adjustments to setups, calibrations, and alignments. Evaluate and diagnose root causes of equipment issues, taking immediate action to resolve problems. Identify opportunities for improvement and commonization across processes. Collaborate with facilities, operations, maintenance teams, and vendors to facilitate equipment installation and readiness. Perform troubleshooting tasks for PLC systems, welding processes, and robotics. Track production equipment data, identifying and reporting inconsistencies. Read and interpret electrical prints for effective problem resolution. Qualifications Technical degree preferred. 2-4 years of practical experience in a manufacturing environment. High level of self-motivation and the ability to work independently. Proven ability to manage multiple tasks simultaneously. Strong interpersonal skills, including facilitation, negotiation, and conflict resolution. Proficiency in one or more of the following areas: machine controls, robotics, electrical circuitry, or automated welding systems. Excellent communication skills and a collaborative team-oriented mindset. Preferred Skills Familiarity with advanced machine programming and diagnostics. Experience in a fast-paced production environment. Knowledge of safety protocols and best practices in manufacturing. Titles Encouraged to Apply Manufacturing Technician Automation Technician Process Engineering Technician Maintenance Technician Controls Technician Robotics Technician Electrical Technician Take the next step in your career and join a team that values technical expertise, innovation, and collaboration. Apply today to make a difference in a dynamic manufacturing environment!

Yoh is looking for a Test Engineer to come in and join our Biotech/ Pharma client for their state of the art manufacturing building. The ideal individual will come in with Bachelor's degree in Engineering: Mechanical, Electrical or Manufacturing with 7+ years of experience, or MS/ PhD with 5-7 years of experience. Industry: Bio Tech/ manufacturing Location: Pleasanton CA Compensation: $45-65/hour DOE Type: 6 month Contract Responsibilities Interfaces with design engineering and Product Management to coordinate the release of new products. Work with design engineering to provide DFM/A feedback during the design phase. Design and develop manufacturing test fixtures as required. Proactively communicate technical information and status to broad, cross-functional teams Develop and refine acceptance test processes and specifications of complex electromechanical subsystems while working cross functionally with manufacturing, R&D, and contract manufacturers. Required Skills (NPI Test Engineer) Bachelor's degree in Engineering: Mechanical, Electrical or Manufacturing with 7+ years of experience, or MS/ PhD with 5-7 years of experience. Work history with several successful iterations of Design to Manufacturing transfers. Creation of FMEAs, ECOs and work instructions Working knowledge of motor (eg., servo, stepper), PCA, and subassembly testing Experience working with instrument manufacturing under ISO 9001 or ISO 13485 standards Experience with Altium, Python, and SDK development Experience with Snowflake, Labview, and MES systems a plus Estimated Min Rate: $49.00 Estimated Max Rate: $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

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 |

Seeking a highly motivated Site Reliability Engineer specializing in enterprise database services. This role ensures the availability, performance, and stability of database systems through automation, proactive monitoring, and incident prevention. This position is 100% onsite with potential contract extension. Responsibilities Apply SRE and software engineering principles to maintain and modernize enterprise database platforms. Deliver database automation, incident prevention, and health monitoring. Support database systems such as Oracle, Exadata, Cloud Data Warehouse, AWS RDS, Postgres, and MS SQL Server. Create proactive self-healing solutions and reduce operational toil. Conduct incident review, analysis, and long-term corrective action. Improve platform performance, stability, and reliability using observability tools. Required Qualifications Bachelor's degree in Information Technology or related field. 5+ years of hands-on experience with Oracle Database (11g/12c/19c) and Exadata administration. Strong knowledge of RMAN, Data Guard, RAC, ASM, and Exadata features. Working experience in MS SQL Server administration, clustering, and performance tuning. Proficiency in Python or similar scripting for automation. Strong understanding of SRE fundamentals including SLIs, SLOs, error budgets, and incident response. Experience with observability tools (Dynatrace preferred). Preferred Qualifications ITIL Foundation certification. Oracle Database certifications. AWS Cloud certification. Familiarity with DevOps tools such as Jenkins, Docker, and Kubernetes. Thanks & Regards Archit Sharma Senior Associate - Recruitment - EST ************ ****************************** 420 Lexington Ave, 30th FL. New York, NY 10170 *********************

Aegis Worldwide Mechanical Engineer 1st SHIFT/$100k-$140k/Full-Time South Bend, IN Aegis Worldwide is curently partnered with an Indiana-based tactical fuel and water systems manufacturer. Responsibilities: Evaluating technical specificationsto ensure alignment with customer expectations and industry standards. Guiding the design lifecyclefrom conceptual sketches to detailed CAD models. Conducting regular review meetingswith stakeholders to discuss project milestones and deliverables. Developing comprehensive BOMsthat reflect all necessary components for project execution. Performing rigorous validation simulations and testson system designs to ensure reliability and functionality. Creating precise manufacturing drawingsthat serve as definitive guides for production teams. Liaising with machine shopsto ensure accurate translation of design intent into manufactured components. Extending post-manufacturing supportto address any issues during assembly or deployment. Developing detailed schematicsthat accurately convey the interfaces and details of mechanical and electrical systems. Vendor collaborationon new or existing technologies to solve design problems in a timely manner and acceptable cost. Requirements: Bachelor's or Master's degree in Aerospace or Mechanical Engineeringor a related field. At least 5 years of progressive experiencein design, development, and product release. Proficiency in CADfor design and drafting, preference for use of SolidWorks. Proficiency in CAE and CFD simulationsto predict and optimize system performance. Six Sigma certificationpreferred for advanced process optimization. Strong background in structural designfor robust and reliable engineering solutions. Professional Engineering (PE) licensepreferred for senior roles. Project Management Professional (PMP) certificationis a plus. Familiarity with 3D printingand additive manufacturing processes. Optimizing workflowsto enhance efficiency and reduce time-to-market for new products. Leading cross-functional teamsto foster collaboration between engineering, manufacturing, and quality disciplines.

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.

Epitec is seeking an experienced Electrical Supervisor to join our automotive client's team. As an Electrical Supervisor, the candidate will play a pivotal role in leading daily operations within a hands-on, high-tech machine build environment. You will oversee a team of skilled machine builders, prototype technicians, and assembly personnel responsible for delivering world-class precision machinery. This role is perfect for someone who enjoys a blend of leadership and technical work , thrives in a fast-paced production setting, and takes pride in seeing complex systems come to life from blueprint to finished machine. This is an ongoing W2 Contract This is an onsite position in Rochester Hills, MI Key Responsibilities Supervise and lead a team of 5-8 electricians in a manufacturing shopfloor automation environment. Read and interpret installation prints to guide project execution. Plan, monitor, and report on project build activities, ensuring timely completion and quality standards. Troubleshoot, debug, and resolve electrical issues during project integration and testing phases. Attend meetings, contribute to technical discussions, and communicate project status-including challenges-to leadership. Identify and select appropriate assembly tools for automation projects. Motivate team members and address performance concerns promptly and professionally. Qualifications Minimum 4-5 years of experience in manufacturing shopfloor automation. Proven experience managing large automation projects through the full project build life cycle. Strong computer skills (basic to intermediate expertise). Demonstrated ability to monitor, report, and communicate project build status. Excellent troubleshooting and problem-solving skills in AC/DC electrical systems. Effective communicator and team player-trustworthy, dependable, and hardworking. Degree in a relevant field preferred. Additional certifications and required documents as applicable.

Salary: $80-$95/k DIRECT HIRE This position is responsible for developing and executing plans for optimizing process control and instrumentation systems throughout the plant. This position will provide technical support for a wide variety of instrumentation and control equipment. The position will drive automation strategy, manage capital and projects improvement projects, and provide technical leadership in troubleshooting and continuous improvement initiatives. Essential Functions & Responsibilities: Manage, mentor, and develop technicians. Set clear objectives, priorities, and performance expectations for the team. Foster a culture of safety, quality, and continuous improvement. Oversee design, commissioning, and validation of automation systems. Develop and maintain site automation standards, specifications, and documentation. Lead programming and troubleshooting for distributed controls systems and PLCs. Develop and review electrical and other drawings in support of plant processes. Direct the preventive maintenance, calibration, and troubleshooting of process instrumentation in compliance with GMP and regulatory requirements. Support and participate in internal and external audits, providing technical expertise and documentation as required. Drive root cause analysis and corrective/preventive actions (CAPAs) for automation and instrumentation-related deviations. Identify and implement opportunities for process optimization, energy savings, and enhanced reliability. Education, Experience, and/or Skill: Bachelor's degree in electrical Engineering, or related field required Minimum 8 years of automation engineering experience in a GMP-regulated environment At least 2-5 years of direct people management experience Experience in programming, maintaining and troubleshooting Distributed Control Systems Strong background in standard PC applications Strong project management skills Knowledge in computer validation 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.

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.

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.

Our client, a leading food and beverage packaging manufacturer, is seeking a Plastics Process Engineer to join their team in Conyers, GA. Apply engineering knowledge and skills for moderately complex engineering projects focused on creating or improving process control systems and procedures from the raw material phase through the manufacture of prototypes and products ESSENTIAL DUTIES AND RESPONSIBILITIES Manage, prioritize and complete projects or programs of moderate to large size, scope, and duration Coordinate project work with other engineers, technicians, designers and/or or drafters Lead process failure discussions and investigations to ensure consistency of solutions across all facilities Perform feasibility studies for fabrication, assembly, machining, or processing Assist technicians with assembly and disassembly of process equipment and components in order to diagnose issues Troubleshoot, analyze, identify, evaluate, propose, implement, and document engineering solutions Develop and document standard operating procedures (SOPs) for equipment processes Collaborate with production personnel and other departments to gather information and draft reports, and improve equipment, processes, and products Create test parameters and participate in the testing, data analysis, and implementation of processes, equipment, and engineering solutions Identify broad conceptual ideas and develop them into useful solutions Establish continuous improvement plans where efficiency, quality, safety, or service can be improved EDUCATION, EXPERIENCE KNOWLEDGE, SKILLS, AND ABILITIES Requires one of the following: Bachelor's degree with an emphasis in engineering or related field of study and three (3) years of related engineering experience, OR Associate's degree and nine (9) years of related engineering experience Experience analyzing production equipment, processes and materials and solving issues Knowledge of various statistical and quality methodologies including but not limited to Statistical Process Control (SPC), Statistical Quality Control (SQC), 5S, 8D, Failure Mode and Effects Analysis (FMEA), Root Cause Analysis, Gage Repeatability and Reproducibility (R&R), and Design of Experiments (DOE) Prior experience working with thermoforming, injection molding, print, and/or paper equipment and processes Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various products Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models Knowledge of raw materials, production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of products Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems Ability to successfully prioritize, and organize projects, deadlines, and tasks with little supervision in both team and independent environments Strong verbal and written skills necessary to communicate intricate job-related information Bachelor's degree, preferred PHYSICAL DEMANDS, WORK ENVIRONMENT AND OTHER REQUIREMENTS Work is split between an office environment, production facility, and/or warehouse depending on the project Up to 10% domestic travel Ability to obtain and maintain a valid driver's license and passport Requires a valid driver's license and favorable motor vehicle report upon hire Exposure to extreme heat, loud noise, dirt, dust, odors, and fumes is probable Required to wear personal protective equipment (PPE) in required areas

NO SPONSORSHIP OF ANY KIND Manufacturing Design Engineer We are seeking a hands-on Manufacturing Design Engineer to support a growing production operation that is expanding more engineering and tooling work in-house. This role plays a critical part in designing molds, precast shapes, and production-related tooling while partnering closely with fabrication, quality, and production teams to improve efficiency, throughput, and product quality. This position is design-forward and ideal for someone who enjoys seeing their work move from concept to the shop floor. While the role interfaces with CNC equipment (foam cutters/Routers), CNC programming experience can be trained; strong design fundamentals and manufacturing understanding are the priority. Key Responsibilities Design molds, precast shapes, and related components using CAD software (Autodesk Inventor preferred; similar platforms considered) Convert customer drawings and specifications into manufacturable designs and production-ready models Create packaging and support drawings to assist downstream production and shipping Collaborate with fabrication and production teams to ensure designs are practical, efficient, and safe to manufacture Support implementation of designs into CNC processes (wire cutters, foam cutters, routers); training available as needed Participate in quality reviews and inspections to ensure parts meet specifications Assist engineering leadership with estimating labor, materials, and setup considerations related to mold and tooling work Support continuous improvement efforts focused on safety, efficiency, and output Communicate effectively with cross-functional teams including engineering, production, quality, and maintenance Maintain organized workspaces and follow all safety standards and company policies Operate basic shop equipment and material handling equipment as required Required Skills & Experience Strong mechanical design experience in a manufacturing environment Proficiency with CAD software Ability to read and interpret technical drawings and prints Solid understanding of fabrication and manufacturing principles Comfortable working both independently and collaboratively in a production setting Strong communication, organization, and problem-solving skills High attention to detail with a focus on quality and safety Preferred (But Not Required) Bachelor's degree in Engineering or equivalent practical experience Background in steel fabrication, tooling, or custom manufacturing environments Exposure to CNC equipment or automated cutting systems Welding or hands-on fabrication experience Experience supporting production efficiency or continuous improvement initiatives Performance Expectations Success in this role will be measured by: Quality and accuracy of designs released to production Contribution to improved efficiency and throughput Responsiveness to production and quality needs Adherence to safety standards and attendance expectations Ability to collaborate effectively across departments Work Environment & Physical Requirements Manufacturing and shop-floor environment Ability to lift up to 55 lbs as needed Use of PPE including steel-toe footwear and company-provided uniforms Limited or no travel required Overtime flexibility may be required during peak production periods Growth Opportunity This role offers long-term growth potential as the business continues to expand. High performers will have opportunities to take on increased responsibility, deeper technical ownership, and broader engineering impact over time.