EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We're seeking a motivated and detail-oriented Senior Systems Engineer who specializes in Data DevOps/MLOps to join our team.

The successful candidate will have in-depth knowledge of data engineering, data pipeline automation, and the integration of machine learning models into production systems. We're looking for a collaborative team player skilled at building, deploying, and managing scalable data and ML pipelines that support strategic goals.

Responsibilities

- Design CI/CD pipelines for data integration and machine learning model deployment
- Build and maintain cloud-based infrastructure for data processing and model training
- Automate data validation, transformation, and workflow orchestration processes
- Work closely with data scientists, software engineers, and product teams to deploy ML models into production
- Improve model serving and monitoring processes to boost performance and reliability
- Maintain data versioning, lineage tracking, and reproducibility across ML experiments
- Spot opportunities to improve deployment processes, scalability, and infrastructure resilience
- Apply security protocols to protect data integrity and ensure compliance
- Troubleshoot and resolve issues throughout the data and ML pipeline lifecycle

Requirements

- Bachelor's or Master's degree in Computer Science, Data Engineering,



or a similar field
- At least 5 years of experience working in Data DevOps, MLOps, or a comparable role
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP
- Experience using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
- Strong skills in containerization and orchestration tools such as Docker and Kubernetes
- Experience working with data processing frameworks like Apache Spark or Databricks
- Strong Python skills, along with experience using data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorch
- Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions
- Familiarity with version control systems like Git and MLOps platforms such as MLflow or Kubeflow
- Working knowledge of monitoring, logging, and alerting tools like Prometheus or Grafana
- Solid problem-solving skills and the ability to work both independently and as part of a team
- Strong communication and documentation abilities

Nice to have

- Experience with DataOps practices and tools such as Airflow or dbt
- Familiarity with data governance frameworks and tools like Collibra
- Exposure to Big Data technologies such as Hadoop or Hive
- Certifications related to cloud platforms or data engineering

We offer

- Prospect to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

📌 Senior Systems Engineer - Data DevOps/MLOps (Chennai)
🏢 EPAM Systems
📍 Chennai