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, detail-oriented Senior Systems Engineer specializing in Data DevOps/MLOps to join our team.

The right candidate will have in-depth knowledge of data engineering, data pipeline automation, and the integration of machine learning models into live environments. This position suits a cooperative individual skilled at creating, launching, and overseeing scalable data and ML pipelines that support strategic goals.

Responsibilities

- Design CI/CD pipelines for data integration and machine learning model deployment
- Deploy and maintain cloud-based infrastructure for data processing and model training
- Automate workflows such as data validation, transformation, and orchestration
- Collaborate with data scientists, software engineers, and product teams to bring ML models into production
- Improve performance and reliability through optimized model serving and monitoring
- Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments
- Pinpoint opportunities to strengthen deployment processes, scalability, and infrastructure resilience
- Apply security protocols to protect data integrity and ensure compliance
- Troubleshoot and resolve issues across the 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 similar roles
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP
- Working knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
- Strong command of containerization and orchestration tools such as Docker and Kubernetes
- Experience with data processing frameworks like Apache Spark or Databricks
- Solid Python skills, including familiarity with data and ML libraries such as Pandas, TensorFlow, or PyTorch
- Exposure to CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions
- Understanding of version control systems like Git and MLOps platforms such as MLflow or Kubeflow
- Familiarity with monitoring, logging, and alerting tools like Prometheus or Grafana
- Sharp problem-solving skills with the ability to thrive independently or as part of a team
- Strong communication and documentation abilities

Nice to have

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

We offer

- Opportunity 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 (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru