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 looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps expertise to help enhance efficiency and drive innovation in our data and machine learning operations.

Responsibilities

- Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model rollout
- Create a strong infrastructure foundation for training, processing, and serving machine learning models through cloud-based platforms
- Streamline operations by automating essential workflows like data transformation, validation, and orchestration
- Partner with cross-functional teams such as data engineers and scientists to bring ML solutions into live production environments
- Enhance reliability, performance monitoring, and model serving within production systems
- Maintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experiments
- Spot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalability
- Apply strict security protocols to protect data and maintain regulatory compliance
- Troubleshoot and fix technical problems within ML deployment workflows and data pipelines

Requirements

- A Bachelor's or Master's degree in Data Engineering, Computer Science, or a related area




- Over 8 years working in MLOps, Data DevOps, or similar fields
- Strong command of cloud platforms including GCP, AWS, or Azure
- Proficiency with Infrastructure as Code tools such as Ansible, CloudFormation, or Terraform
- Capability in orchestration and containerization technologies like Kubernetes and Docker
- Practical experience using data processing frameworks such as Databricks and Apache Spark
- Strong Python skills along with familiarity with libraries like PyTorch, TensorFlow, and Pandas
- Familiarity with CI/CD tools including GitHub Actions, GitLab CI/CD, and Jenkins
- Working knowledge of MLOps platforms and version control systems such as Kubeflow, MLflow, and Git
- Awareness of alerting and monitoring tools such as Grafana and Prometheus
- Solid ability to solve problems and make decisions independently
- Strong skills in technical documentation and communication

Nice to have

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

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
- Versatile benefits

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

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