Senior Systems Engineer - Data DevOps/MLOps

EPAM Systems; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Learning opportunities

Job summary

EPAM Systems, Inc. in Pune, India, invites a Senior Systems Engineer focused on Data DevOps and MLOps to join our global team. You will design and deploy scalable data pipelines and ML model deployments across cloud environments, collaborating with data scientists and engineers to productionize models.

You will implement IaC, CI/CD for data and ML workflows, and ensure data governance, monitoring, and security. This role offers growth across geographies and technologies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 5+ years in Data DevOps, MLOps, or related roles.
• Experience with cloud platforms (Azure/AWS/GCP).
• Strong knowledge of IaC (Terraform/CloudFormation/Ansible).
• Python proficiency and ML libraries such as TensorFlow or PyTorch.

Responsibilities

• Design CI/CD pipelines for data integration and ML model deployment.
• Deploy and maintain infrastructure for data processing and model training in the cloud.
• Automate data validation, transformation, and workflow orchestration.
• Collaborate with data scientists and engineers to productionize ML models.
• Monitor and improve model serving, data governance, and pipeline reliability.

Skills

Strong problem-solving

Team collaboration

Effective communication

Documentation skills

Education

Bachelor’s or Master’s degree in Computer Science/Data Engineering

Tools

Terraform

Docker

Kubernetes

Apache Spark

Databricks

MLflow

Kubeflow

Python

Jenkins

Git

GitHub Actions

Prometheus

Grafana

Airflow

dbt

Collibra

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 looking for a detail-oriented and motivated Senior Systems Engineer with a strong focus on Data DevOps/MLOps to join our team.The ideal candidate should possess a deep understanding of data engineering, automation of data pipelines, and integration of machine learning models into operational environments. This role is for a collaborative professional adept at building, deploying, and managing scalable data and ML pipelines aligned with strategic objectives.ResponsibilitiesDesign CI/CD pipelines for data integration and machine learning model deploymentDeploy and maintain infrastructure for data processing and model training using cloud servicesAutomate processes like data validation, transformation, and workflow orchestrationCoordinate with data scientists, software engineers, and product teams to integrate ML models into production environmentsEnhance performance and reliability by optimizing model serving and monitoring processesEnsure data versioning, lineage tracking, and reproducibility across ML experimentsIdentify improvements for deployment processes, scalability, and infrastructure resilienceImplement security measures to safeguard data integrity and maintain complianceResolve issues in the data and ML pipeline lifecycleRequirementsBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field5 or more years of experience in Data DevOps, MLOps, or related professionsProficiency in cloud platforms such as Azure, AWS, or GCPBackground in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AnsibleExpertise in containerization and orchestration tools such as Docker and KubernetesSkills in using data processing frameworks like Apache Spark or DatabricksProficiency in Python, with familiarity with data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorchFamiliarity with CI/CD tools like Jenkins, GitLab CI/CD, or GitHub ActionsKnowledge of version control systems, such as Git, and MLOps platforms like MLflow or KubeflowUnderstanding of monitoring, logging, and alerting systems like Prometheus or GrafanaStrong problem-solving abilities with the capability to work both independently and collaborativelyEffective communication and documentation skillsNice to haveFamiliarity with DataOps practices and tools like Airflow or dbtUnderstanding of data governance frameworks and tools like CollibraKnowledge of Big Data technologies such as Hadoop or HiveCredentials in cloud platforms or data engineering activitiesWe 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.)