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This role sits within a digital innovation and manufacturing IoT group focused on developing and deploying advanced digital solutions that improve production efficiency, quality, and safety in a sustainable way. As a Computer Vision and IoT Solutions Engineer, you engage directly with plant-floor stakeholders to identify opportunities, prototype and test new concepts, and deliver reliable, production-ready solutions. You combine a creator mindset with strong technical rigor, staying current with digital technologies while carefully managing risk to ensure robust, high-value outcomes for manufacturing operations.

Responsibilities

• Develop new digital technology solutions for manufacturing, including computer vision inspection systems and AI/machine learning analysis of machine and sensor data.
• Engage with regional plant-floor customers to understand their processes, identify improvement opportunities, and translate user and customer needs into technical solutions.
• Analyze manufacturing problems and align them with appropriate products, technologies, and architectures that deliver measurable value in efficiency, quality, and safety.
• Contribute to the definition and execution of the IoT strategy and roadmap for selected manufacturing domains and use cases.
• Monitor emerging digital and IoT technologies and assess their potential for future manufacturing projects and pilots.
• Support and implement analytical processes such as machine learning and advanced data analysis from proof-of-technology concepts through to deployed IoT projects.
• Extract, interpret, and utilize parameter data from machines to assess equipment health, verify proper operation, and understand impacts on product quality.
• Design, implement, and optimize computer vision algorithms, including segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D vision, and deep learning-based methods.
• Implement and integrate vision algorithms using tools such as C++, HALCON, Matrox, Cognex, and Keyence, leveraging both traditional rule-based approaches and deep learning techniques.
• Apply techniques such as vibration, audio, or current signature analysis to monitor machine condition and support predictive or prescriptive maintenance use cases.
• Collaborate with cross-functional teams, including controls engineers, data engineers, and plant operations personnel, to ensure successful deployment and adoption of IoT and vision solutions.
• Document solution designs, configurations, and best practices to support scalability, maintainability, and knowledge sharing across projects and sites.

• Bachelor’s degree in engineering or an engineering-related field such as electrical engineering, controls, systems, computer science, data science, or equivalent experience.
• At least 2 years of experience in manufacturing equipment controls, network design, embedded systems, machine learning, and/or data engineering, preferably with a focus on the automotive industry.
• Strong understanding of manufacturing equipment controls and logic, with hands-on knowledge in at least one PLC platform such as Mitsubishi, Rockwell, Siemens, or Omron.
• Proficiency in understanding, extracting, and interpreting machine parameter data to evaluate machine health, operational performance, and effects on product quality.
• Solid knowledge of computer vision algorithms, including segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D vision, and deep learning techniques.
• Experience implementing computer vision algorithms in C++ and tools such as HALCON, Matrox, Cognex, and/or Keyence, using both traditional rules-based and deep learning approaches.
• Experience with vibration, audio, or current signature analysis for assessing machine condition and performance.
• Demonstrated ability to support and apply machine learning and analytical processes within IoT and digital manufacturing projects.
• Ability to engage effectively with plant-floor users and stakeholders to gather requirements, explain technical concepts, and drive solution adoption.

• Experience working with vision systems in industrial or manufacturing environments.
• Background or exposure to automotive manufacturing processes and standards.
• Familiarity with IoT architectures, connected devices, and edge-to-cloud data flows in a production setting.
• A creator mindset with curiosity about emerging digital technologies and a structured, risk-aware approach to deploying them in production.
• Strong problem-solving skills with the ability to translate complex manufacturing challenges into practical digital solutions.
• Effective communication and collaboration skills for working with cross-functional technical and operations teams.

This position operates within a digital manufacturing and IoT innovation environment closely connected to plant-floor operations. You work with industrial equipment, manufacturing control systems, and advanced vision systems while collaborating with production, engineering, and data teams. The role involves engaging with regional manufacturing sites, interacting directly with operators and engineers, and working with technologies such as PLCs, computer vision tools (HALCON, Matrox, Cognex, Keyence), and machine learning frameworks. The environment emphasizes safety, reliability, and continuous improvement, with a focus on delivering robust, real-world solutions that enhance production efficiency, quality, and safety.

Job Type & Location

This is a Contract position based out of Marysville, OH.

The pay range for this position is $36.00 - $45.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Marysville,OH.

This position is anticipated to close on May 29, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: 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.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.