IN_Senior Associate_ML Engineer_GCC_Advisory_Bangalore

Design, develop, deploy, and monitor scalable machine learning models and end-to-end ML pipelines using AWS in production environments.

Build and maintain data engineering pipelines for large-scale structured and unstructured data to support ML workflows.

Lead technical design efforts, mentor team members, and leverage AI-assisted tools to improve code quality and productivity.

5+ years of professional experience in machine learning engineering or applied ML; total experience range mentioned as 5 to 8 years.

Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field (BE/B.Tech/MCA).

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX; strong software engineering skills including Java, Spring Boot, React.js, TypeScript, and MongoDB.

Hands-on experience with AWS cloud services, Docker, Kubernetes, REST API development, and system design/architecture.

Experienced in full stack development with significant exposure to ML production environments and MLOps practices (CI/CD, model versioning, retraining).

Capable of owning end-to-end ML lifecycle including model training, deployment, monitoring, and continuous improvement at scale.

Strong communicator comfortable translating complex ML concepts to technical and non-technical stakeholders and leading technical designs.