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Machine Learning Engineer - Yaskawa Electric
ML Engineer
Machine Learning Engineer building scalable AI solutions on AWS, leveraging Python, TensorFlow, and PyTorch to deliver high‑performance models for motion control and automation applications.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for motion control and robotics applications.
- Implement feature extraction, model training, and evaluation using TensorFlow and PyTorch.
- Containerize models with Docker and orchestrate deployments on AWS services such as SageMaker, ECS, and EKS.
- Collaborate with cross‑functional teams to integrate ML models into embedded systems and cloud‑based control platforms.
- Monitor model performance in production, perform A/B testing, and iterate for continuous improvement.
Requirements
- 3+ years of experience in machine learning engineering with a strong Python foundation.
- Proficiency in TensorFlow or PyTorch for building and training deep learning models.
- Hands‑on experience deploying ML solutions on AWS (SageMaker, ECS, EKS).
- Knowledge of Docker and container orchestration for scalable model serving.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawstensorflowpytorchdocker