Lead Assistant Manager EXL / LAM / 1473051

Job Description

Key Responsibilities :

• Design and implement end-to-end machine learning pipelines.
• Develop and deploy ML models using Python and manage data workflows using SQL .
• Build and orchestrate workflows using AWS.
• Containerize applications using Docker and deploy them on Google Kubernetes Engine (GKE) .
• Set up and manage CI / CD pipelines for automated model training and deployment.
• Develop and maintain RESTful APIs to serve ML models in production.
• Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and scalability.
• Required Skills & Qualifications : Proficiency in Python and SQL for data manipulation and model development.Experience with AWS and data architectStrong understanding of MLOps practices and tools.Experience GitHub Actions, Jenkins, Cloud Build.Proficiency in API development using frameworks like Flask or FastAPI .Familiarity with version control systems (e.g., Git).