Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.
Continuous Improvement, Governance & Documentation
Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.
Minimum Job Requirements
Education
Bachelor’s degree in computer science, engineering, data science, or related field
Work Experience
Experience working with structured and unstructured data
Experience building and deploying AI based vision systems
5 years in manufacturing / OT environments, PLC, SCADA, MES exposure
2 years of experience in AI/ML development and deployment
Knowledge / Skills / Abilities
Python (TensorFlow, PyTorch, Scikit-learn)
Data engineering and ETL pipelines
Model deployment (APIs, microservices, Docker, etc.)
Understanding of industrial systems, manufacturing processes, or IoT data
Strong problem-solving and systems thinking mindset
Ability to bridge technical and business domains
Execution-focused with a bias toward deployment (not just modeling)
Ability to work across operations, engineering, and service functions
Ability to demonstrate clear communication with both technical teams and leadership
Preferred Job Requirements
Education
Master’s Degree
Work Experience
Experience in discrete manufacturing environments
Experience working in digital factory or Industry 4.0 initiatives
Familiarity with MES, PLM, and ERP integrations (SAP, Tulip, Windchill, etc.)
Knowledge / Skills / Abilities
Experience with Computer vision (OpenCV, vision models
Time-series analysis (sensor, telemetry data)
Edge AI deployment
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”
