Job Summary
A company is looking for a Senior ML Engineer to design and train predictive models for optimizing machine scheduling.
Key Responsibilities
- Design pipelines to ingest telemetry and sensor data from physical assets
- Build predictive models to optimize CNC/robotic arm utilization and scheduling
- Work with the Simulation Engineer to validate model impact in virtual environments
Required Qualifications
- 4+ years working with time-series or predictive ML models
- Strong experience in Python, Pandas, Scikit-learn, PyTorch or TensorFlow
- Familiarity with Kafka, Spark, or cloud-based streaming systems
- Understanding of factory scheduling, queueing theory, or optimization is a plus
- Experience collaborating with simulation or robotics teams is highly valued
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