Lead Systems Engineer - Data DevOps/MLOps

EPAM Systems; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Sponsored Tech Talks & Hackathons

Unlimited LinkedIn learning solutions

Relocation to EPAM offices

Job summary

EPAM Systems is seeking a Lead Systems Engineer with strong Data DevOps and MLOps expertise in Gurugram. The role focuses on building and operating end-to-end data pipelines, ML model deployment, and scalable cloud infrastructure.

You will collaborate with data scientists and engineers to productionize ML workloads, ensure reproducibility, and maintain security and compliance across platforms. The ideal candidate brings 8+ years in Data DevOps/MLOps, hands-on experience with Azure/AWS/GCP, IaC,

Qualifications

• At least 8 years of Data DevOps or ML Ops experience.
• Strong command of cloud platforms including Azure, AWS, or GCP.
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub Actions.
• Terraform, CloudFormation or Ansible experience for IaC.
• Proficiency in Python with TensorFlow and PyTorch.
• Experience with Spark and Databricks.
• Knowledge of data governance, security, and compliance.

Responsibilities

• Build, launch, and oversee CI/CD pipelines for data integration and ML deployment.
• Set up infrastructure to process, train, and serve ML models on cloud.
• Automate data validation, transformation, and orchestration workflows.
• Collaborate with data scientists and engineers to productionize ML solutions.
• Enhance model serving, monitoring, and reliability in production.
• Maintain data versioning, lineage, and reproducibility for ML experiments.
• Apply security controls and ensure regulatory compliance.
• Troubleshoot data pipelines and ML deployment issues.

Skills

Data DevOps

MLOps

CI/CD pipelines

Cloud platforms

Python

Pandas

TensorFlow

PyTorch

Docker

Kubernetes

Apache Spark

Databricks

MLflow

Kubeflow

Git

Infrastructure as Code

Monitoring

Grafana

Problem solving

Documentation

Education

Bachelor's degree in CS/Data Eng

Master's degree in CS/Data Eng

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Jenkins

GitLab CI/CD

GitHub Actions

Databricks

Kubeflow

Prometheus

Grafana

Job description

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 enhance innovation and streamline our data and machine learning operations.ResponsibilitiesBuild, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deploymentSet up a reliable infrastructure to process, train, and serve machine learning models through cloud platformsStreamline essential workflows including data validation, transformation, and orchestration through automationPartner with cross-functional teams such as data scientists and engineers to bring ML solutions into live production environmentsEnhance model serving capabilities, performance tracking, and dependability within production systemsMaintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflowsSpot and act on opportunities to boost scalability, efficiency, and resilience across infrastructureApply strict security protocols to protect data and maintain compliance with applicable regulationsTroubleshoot and fix technical problems within data pipelines and ML deployment processesRequirementsBachelor's or Master's degree in Computer Science, Data Engineering, or a related disciplineAt least 8 years of experience working in Data DevOps, MLOps, or similar fieldsStrong command of cloud platforms including Azure, AWS, or GCPProficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or AnsibleSolid grasp of containerization and orchestration tools like Docker and KubernetesPractical experience using data processing frameworks such as Apache Spark and DatabricksStrong Python skills, along with familiarity with libraries like Pandas, TensorFlow, and PyTorchFamiliarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub ActionsBackground working with version control systems and MLOps platforms like Git, MLflow, and KubeflowWorking knowledge of monitoring and alerting tools such as Prometheus and GrafanaSolid problem-solving skills paired with the ability to make independent decisionsClear communication abilities and strong technical documentation skillsNice to haveExperience with DataOps approaches and tools like Airflow or dbtFamiliarity with data governance platforms such as CollibraExposure to Big Data technologies including Hadoop or HiveCertifications related to cloud platforms or data engineering toolsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)