Lead Systems Engineer - Data DevOps/MLOps

EPAM Systems; Pune District; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Learning opportunities

Tech Talks & Hackathons

Health benefits

Job summary

EPAM Systems seeks a Lead Data DevOps/MLOps engineer to drive innovation in data and machine learning operations. You will design, deploy, and manage CI/CD pipelines for data integration and ML model deployment across cloud environments.

Responsibilities include building scalable infrastructure for training and serving models, automating data workflows, and collaborating with data scientists to productionize ML solutions with strong security and governance practices.

Qualifications

• 8+ years of experience in Data DevOps, MLOps or related roles.
• Experience designing, deploying, and managing CI/CD pipelines for data and ML models.
• Strong cloud experience (Azure, AWS, or GCP) and IaC tooling.

Responsibilities

• Design, deploy, and manage CI/CD pipelines for data and ML deployments.
• Build robust data processing and ML model serving infrastructure in the cloud.
• Automate data validation, transformation, and orchestration workflows.
• Collaborate with data scientists and engineers to productionize ML solutions.
• Improve model serving performance, monitoring, and reliability.

Skills

CI/CD pipelines

Data engineering

Problem solving

Cross-functional collaboration

Technical documentation

Education

Bachelor’s or Master’s in CS/Data Eng

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Apache Spark

Databricks

Python (Pandas, TensorFlow, PyTorch)

Jenkins / GitHub Actions / GitLab CI

MLflow / Kubeflow

Prometheus / Grafana

Airflow

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 are seeking a skilled and passionate Lead Systems Engineer with Data DevOps/MLOps expertise to drive innovation and efficiency across our data and machine learning operations.ResponsibilitiesDesign, deploy, and manage CI/CD pipelines for seamless data integration and ML model deploymentEstablish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutionsAutomate critical workflows such as data validation, transformation, and orchestration for streamlined operationsCollaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environmentsImprove model serving, performance monitoring, and reliability in production ecosystemsEnsure data versioning, lineage tracking, and reproducibility across ML experiments and workflowsIdentify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructureEnforce rigorous security measures to safeguard data and ensure compliance with relevant regulationsDebug and resolve technical issues in data pipelines and ML deployment workflowsRequirementsBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field8+ years of experience in Data DevOps, MLOps, or related disciplinesExpertise in cloud platforms such as Azure, AWS, or GCPSkills in Infrastructure as Code tools like Terraform, CloudFormation, or AnsibleProficiency in containerization and orchestration technologies such as Docker and KubernetesHands-on experience with data processing frameworks including Apache Spark and DatabricksProficiency in Python with familiarity with libraries including Pandas, TensorFlow, and PyTorchKnowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub ActionsExperience with version control systems and MLOps platforms including Git, MLflow, and KubeflowUnderstanding of monitoring and alerting tools like Prometheus and GrafanaStrong problem-solving and independent decision-making capabilitiesEffective communication and technical documentation skillsNice to haveBackground in DataOps methodologies and tools such as Airflow or dbtKnowledge of data governance platforms like CollibraFamiliarity with Big Data technologies such as Hadoop or HiveShowcase of certifications in 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.)