AI Engineer
Actalent
About the role
Job Title
Machine Learning Engineer 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.
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 Apr 15, 2026.
Diversity, Equity & Inclusion
At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I is embedded into our culture through:
- Hiring diverse talent
- Maintaining an inclusive environment through persistent self‑reflection
- Building a culture of care, engagement, and recognition with clear outcomes
- Ensuring growth opportunities for our people
Actalent is an equal opportunity employer.
About Actalent
Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day.
Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com.
Requirements
- 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
- 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
- Maintaining an inclusive environment through persistent self-reflection
Responsibilities
- This role involves designing and implementing computer vision models, accelerating training cycles with advanced techniques, and developing new technologies to improve manufacturing processes
- 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
- Building a culture of care, engagement, and recognition with clear outcomes
Benefits
Skills
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