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ML Engineer - NTT DATA
ML Engineer
Lead end‑to‑end machine learning projects, building scalable models in Python with TensorFlow/PyTorch, deploying them on AWS, and collaborating with data engineering teams to deliver production‑ready AI solutions.
About the role
Key Responsibilities
- Design, develop, and production‑grade machine learning models using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to ingest, clean, and transform large datasets for model training.
- Deploy models to AWS services (SageMaker, Lambda, ECS) and monitor performance in production.
- Implement model versioning, A/B testing, and continuous integration/continuous deployment pipelines.
- Translate business requirements into technical solutions and communicate results to stakeholders.
Requirements
- 3+ years of experience in machine learning engineering or data science.
- Experience with data pipelines, feature engineering, and model monitoring.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningtensorflowpytorchaws