onsite
ML Engineer - NTT Data Americas, Inc.
ML Engineer
ML Engineer building scalable AI solutions using Python, TensorFlow, and PyTorch on AWS. Design, train, and deploy models with Docker and Kubernetes, ensuring high performance and reliability.
About the role
Key Responsibilities
- Design, develop, and production‑grade machine learning models using Python, TensorFlow, and PyTorch.
- Deploy models to AWS services (SageMaker, ECS, EKS) with Docker and Kubernetes orchestration.
- Collaborate with data engineers to ingest, clean, and transform large datasets using SQL and Spark.
- Implement model monitoring, A/B testing, and continuous integration/continuous deployment pipelines.
- Document model architecture, performance metrics, and best practices for internal knowledge sharing.
Requirements
- 3+ years of experience in machine learning engineering or data science.
- Proficiency in Python, TensorFlow, and PyTorch.
- Hands‑on experience with AWS, Docker, and Kubernetes.
- Strong SQL skills and familiarity with big data tools.
- Excellent problem‑solving and communication skills.
Skills
pythontensorflowpytorchawsdockerkubernetessql