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 chance 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.

Our team is seeking a skilled and committed Senior Systems Engineer who brings deep expertise in Data DevOps/MLOps to strengthen our organization.

The successful applicant will demonstrate a thorough understanding of data engineering practices, automated data pipelines, and the operational deployment of machine learning models. This position requires a collaborative individual capable of architecting, implementing, and overseeing large-scale data and ML pipelines that support our company's goals.

Responsibilities

- Build, launch, and oversee CI/CD pipelines supporting data integration and ML model rollout
- Establish and maintain cloud-based infrastructure for data processing and model training operations
- 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 performance and reliability
- Oversee data versioning, lineage tracking, and ensure ML experiments remain reproducible
- Continuously identify opportunities to improve deployment workflows, scalability, and infrastructure durability
- Enforce robust security measures that protect data integrity and meet regulatory standards
- 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 related discipline
- Minimum 5 years of relevant experience in Data DevOps, MLOps, or comparable positions
- Skilled in cloud platforms such as Azure, AWS, or GCP
- Experience working with Infrastructure as Code tools like Terraform, CloudFormation, or Ansible
- Strong command of containerization and orchestration tools such as Docker and Kubernetes
- Practical experience using data processing frameworks like Apache Spark and Databricks
- Programming skills in Python, along with familiarity with data manipulation and ML libraries such as Pandas, TensorFlow, and PyTorch
- Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub Actions
- Hands-on experience with version control systems and MLOps platforms including Git, MLflow, and Kubeflow
- Solid grasp of monitoring, logging, and alerting tools such as Prometheus and Grafana
- Strong analytical and problem-solving capabilities, with the ability to perform well both independently and collaboratively
- Effective communication and documentation skills

Nice to have

- Experience with DataOps principles and tools such as Airflow and dbt
- Understanding of data governance platforms like Collibra
- Exposure to Big Data technologies such as Hadoop and Hive
- Cloud platform or data engineering certifications

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
- Chance 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