onsite
ML Engineer - Cubet Techno Labs
ML Engineer
Machine Learning Engineer responsible for designing, building, and deploying scalable ML models using Python, TensorFlow, and AWS services, with containerization via Docker and continuous integration practices.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models using Python and TensorFlow/PyTorch.
- Implement end‑to‑end ML pipelines, including data ingestion, feature engineering, and model training on AWS infrastructure.
- Containerize models with Docker and orchestrate deployments using CI/CD pipelines.
- Collaborate with data scientists, software engineers, and product teams to translate business requirements into technical solutions.
- Monitor model performance in production, perform A/B testing, and iterate for continuous improvement.
Requirements
- 4+ years of experience in machine learning engineering or related field.
- Proficiency in Python, TensorFlow/PyTorch, and SQL.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda).
- Strong knowledge of Docker, Kubernetes, and CI/CD tools.
- Excellent problem‑solving skills and ability to work in a collaborative environment.
Skills
machine learningpythontensorflowawsdocker