AI Application Engineer

AI Applications Engineer The AI Applications Engineer will design, develop, and deploy scalable AI/ML solutions that accelerate digital transformation across manufacturing operations. This role will focus on translating operational challenges into deployable AI solutions—integrating operations platforms to enable smarter decision-making, automation, and predictive insights. This position plays a critical role in building the "Digital Factory + AI" capability stack.

This position could include up to 25% travel locally.

Major Responsibilities:

Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.

Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement.

Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture.

Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.

Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.

Minimum Job Requirements:

Bachelor's degree in computer science, engineering, data science, or related field

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:

Master's Degree

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.)

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.