Machine Learning Engineer
Core
Building intelligent systems for manufacturing and operational problems including computer vision, quality control, and process optimization.
Role type
hands-on machine learning engineer (manufacturing/operations)
Builds
production ML and optimization systems for manufacturing and operational use cases
Domain
manufacturing, operations, industrial automation
Deliverable
production ML models
Required skills
Python, software engineering, machine learning, statistics, quantitative problem-solving, data pipeline development, algorithm research and implementation
Preferred skills
computer vision, OCR, video analytics, optimization, operations research, simulation, forecasting, cloud/GPU infrastructure, manufacturing/logistics/supply chain/robotics/industrial automation experience
Responsibilities
Build ML and optimization solutions for manufacturing and operational use cases; Work on problems involving computer vision, image/video analysis, OCR, forecasting, optimization and decision-making; Analyze production and operational data to identify bottlenecks and opportunities for improvement; Develop solutions for problems such as production planning, scheduling, resource allocation and process optimization; Own projects from problem definition and data collection through research, implementation, evaluation and deployment; Build the software and data pipelines required to turn models and algorithms into usable systems; Evaluate solutions against real operational outcomes and improve them over time; Work directly with manufacturing and operations teams to understand processes and identify opportunities for ML, optimization and automation
