We're seeking a skilled Senior Systems Engineer with deep expertise in Data DevOps/MLOps to join our growing team.

The right candidate will bring strong knowledge of data engineering, pipeline automation, and the operationalization of machine learning models. This position calls for a collaborative professional capable of architecting, implementing, and maintaining large-scale data and ML pipelines that support the company's broader goals.

Responsibilities

• Build, launch, and maintain CI/CD pipelines supporting data integration and ML model deployment
• Establish and maintain cloud-based infrastructure for data processing and model training
• Streamline data validation, transformation, and workflow orchestration through automation
• Partner with data scientists, software engineers, and product teams to ensure seamless ML model integration into production environments
• Improve model serving and monitoring capabilities to increase system performance and reliability
• Oversee data versioning, lineage tracking, and reproducibility across ML experiments




• Continuously identify opportunities to improve deployment workflows, scalability, and infrastructure resilience
• Enforce robust security measures to protect data integrity and ensure regulatory compliance
• Diagnose and resolve problems across the entire data and ML pipeline lifecycle

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline
• At least 5 years of experience in Data DevOps, MLOps, or comparable positions
• Solid command of cloud platforms such as Azure, AWS, or GCP
• Experience using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
• Skilled in containerization and orchestration tools, including Docker and Kubernetes
• Practical experience with data processing frameworks like Apache Spark and Databricks
• Strong programming skills in Python, along with familiarity in data manipulation and ML libraries such as Pandas,

📌 Senior Systems Engineer (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru