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ML Engineer - Ideas2IT
ML Engineer
Senior ML Engineer building scalable, production‑grade AI systems on AWS, designing end‑to‑end pipelines, fine‑tuning models, and leading MLOps practices with Docker and CI/CD.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines that are scalable, secure, and reproducible.
- Lead the fine‑tuning and optimization of deep learning models using TensorFlow or PyTorch.
- Implement MLOps workflows with Docker, Kubernetes, and CI/CD pipelines to ensure rapid, reliable delivery.
- Collaborate closely with data scientists, product managers, and junior engineers to translate business problems into robust ML solutions.
- Maintain model monitoring, logging, and performance dashboards in a cloud environment (AWS).
Requirements
- 5+ years of experience in machine learning engineering with a strong portfolio of production deployments.
- Proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS).
- Hands‑on experience with Docker, Kubernetes, and CI/CD tools for ML workflows.
- Solid understanding of MLOps principles, model versioning, and automated testing.
- Excellent communication skills and a proven ability to mentor junior team members.
Skills
pythontensorflowpytorchawsdockercicdmlops