Machine Learning Engineer

Job Title: Machine Learning Engineer Job Description We are seeking a passionate and highly motivated Machine Learning Engineer Engineer to join our Manufacturing Project Innovation Center. The ideal candidate will support the Production Engineering Division's goal of enhancing manufacturing competitiveness. This role involves designing and implementing computer vision models, accelerating training cycles with advanced techniques, and developing new technologies to improve manufacturing processes. Responsibilities • Design and implement computer vision models for defect detection, segmentation, and classification. • Accelerate training cycles using synthetic data, active learning, and domain randomization. • Package models and manage deployments using Docker and Kubernetes. • Optimize inference for edge and embedded hardware to meet real-time latency requirements. • Integrate vision systems with PLCs and industrial networks using OPC-UA, MQTT, and REST protocols. • Lead data collection campaigns and establish quality gates for model validation. • Ensure uptime and availability through proactive monitoring and calibration. • Develop and deploy production-grade machine learning models for industrial vision inspection systems. • Lead and manage projects from concept to launch, ensuring timely completion of milestones. • Collaborate closely with internal and external groups to integrate robust AI solutions into manufacturing environments. Essential Skills • 5 years of experience in Machine Vision & Edge AI development. • Proficiency in Python and C++. • Experience with machine learning frameworks such as TensorFlow and PyTorch. • Hands-on experience with Docker and Kubernetes. • Familiarity with ONNX Runtime and optimization for embedded hardware. • Experience integrating vision systems with PLCs and industrial protocols. • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology, or a related field. Additional Skills & Qualifications • Master’s Degree in Engineering or related fields. • Academic research experience in new technology. • Experience in project management involving internal and external parties. • Experience deploying automotive production equipment. • Experience in Robotics, including operation, teaching, maintenance, and safety. • Expertise in synthetic data generation techniques and domain randomization. Work Environment Flexible schedules and a strong focus on work/life balance are promoted. Opportunities for long-term contracts and professional growth are abundant. Job Type & Location This is a Contract position based out of Georgetown, KY. Pay And Benefits The pay range for this position is $45.00 - $65.00/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) Workplace Type This is a fully onsite position in Georgetown,KY. Application Deadline This position is anticipated to close on Mar 13, 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 due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.