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 agile 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 drive innovation and efficiency throughout our data and machine learning operations.

Responsibilities

- Build, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deployment
- Create a solid cloud-based infrastructure foundation for training, processing, and serving machine learning models
- Streamline operations by automating essential workflows like data validation, transformation, and orchestration
- Work alongside cross-functional teams, such as data scientists and engineers, to bring ML solutions into production
- Enhance performance monitoring, model serving, and reliability within production environments
- 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 while maintaining compliance with applicable regulations
- 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 discipline




- At least 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
- Hands-on knowledge of orchestration and containerization technologies like Kubernetes and Docker
- Practical experience using data processing frameworks such as Databricks and Apache Spark
- Robust 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
- Experience working with MLOps platforms and version control systems such as Kubeflow, MLflow, and Git
- Working knowledge of alerting and monitoring tools such as Grafana and Prometheus
- Solid ability to solve problems and make decisions independently
- Strong technical documentation and communication abilities

Nice to have

- Experience with DataOps tools and methodologies such as dbt or Airflow
- Familiarity with data governance platforms like Collibra
- Exposure to Big Data technologies such as Hive or Hadoop
- Certifications related to 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
- Flexible benefits

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

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