Lead Assistant Manager EXL / LAM / 1476409

Job Description

:  We are looking for a skilled and proactive  Machine Learning Engineer with a strong foundation in Python and SQL, and hands-on experience with modern MLOps tools and practices. You will be responsible for building, deploying, and maintaining scalable machine learning solutions in production environments, leveraging cloud-native technologies and automation pipelines.

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 Google Cloud Composer (Airflow) .
• 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 :