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 energetic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of creative 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.

We are looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps experience to enhance innovation and efficiency throughout our data and machine learning operations.

Responsibilities

- Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment
- Build dependable infrastructure to support processing, training, and serving of machine learning models through cloud-based platforms
- Streamline key processes like data validation, transformation, and orchestration to enhance operational efficiency
- Partner with cross-functional teams, such as data scientists and engineers, to embed ML solutions within production systems
- Enhance model serving, performance tracking, and reliability within production environments
- Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows
- Discover and apply strategies to boost the scalability, efficiency, and resilience of infrastructure systems
- Apply strict security protocols to protect data and maintain compliance with applicable regulations
- Troubleshoot and fix technical problems within data pipelines and ML deployment processes

Requirements

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




- 8+ years of professional background in Data DevOps, MLOps, or comparable areas
- Strong command of cloud platforms including Azure, AWS, or GCP
- Capability with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible
- Competency in containerization and orchestration solutions like Docker and Kubernetes
- Practical experience using data processing frameworks such as Apache Spark and Databricks
- Strong Python skills along with familiarity with libraries like Pandas, TensorFlow, and PyTorch
- Familiarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions
- Background using version control systems and MLOps platforms such as Git, MLflow, and Kubeflow
- Working knowledge of monitoring and alerting tools like Prometheus and Grafana
- Solid problem-solving skills paired with the ability to make independent decisions
- Strong communication abilities and technical documentation expertise

Nice to have

- Experience with DataOps approaches and tools like Airflow or dbt
- Familiarity with data governance platforms such as Collibra
- Exposure to Big Data technologies including Hadoop or Hive
- Certifications demonstrating expertise in cloud platforms or data engineering tools

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.)

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