Position : Senior Machine Learning Data Engineer – AWS & DevOps

• Experience: 8–10 Years

• Location: Pune – Phase 3

Job Description

We are looking for a Senior Machine Learning Data Engineer with expertise in PySpark, ML frameworks, and AWS cloud services to design, develop, and deploy scalable ML pipelines. The role involves integrating ML workflows with DevOps practices, ensuring efficient, automated, and production-ready solutions.

Key Responsibilities

• Develop and maintain ML pipelines using PySpark and ML frameworks like PyTorch or TensorFlow

• Deploy and manage ML models on AWS SageMaker

• Implement model tracking and experimentation using MLFlow

• Build and maintain containerized environments with Docker and Elastic Container Repository

• Design, implement, and optimize CI/CD pipelines for ML workflows

• Collaborate with data scientists, engineers, and DevOps teams for seamless production deployment

• Monitor, debug, and optimize ML workflows for performance and scalability

• Ensure adherence to security, compliance, and best practices in ML deployments

Mandatory Skills

• Strong experience with PySpark

• Hands-on with PyTorch or TensorFlow

• Experience with AWS SageMaker and Elastic Container Repository (ECR)

• Proficiency in MLFlow for experiment tracking and model management

• Knowledge of Docker and CI/CD pipeline

• Familiarity with DevOps practices for ML/Cloud workflows