Lead Systems Engineer - Data DevOps/MLOps

EPAM Systems; Bengaluru; Presencial; INR 4 000 000 - 8 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Global opportunities

Resumo da oferta

EPAM Systems is seeking a Lead Systems Engineer with Data DevOps/MLOps expertise to drive pipeline and infrastructure excellence. You will partner with data scientists and engineers to productionize ML solutions, build scalable CI/CD for data workflows, and reinforce security and compliance across cloud environments.

The role emphasizes collaboration, automation, and robust monitoring to ensure reliable ML model deployment and data processing at scale.

Qualificações

• Bachelor's or Master's in Data Engineering, CS or related field.
• 8+ years in MLOps, Data DevOps or related roles.
• Strong command of cloud platforms (GCP, AWS, Azure).
• Proficiency with IaC tools and orchestration tech.

Responsabilidades

• Build, launch, and maintain CI/CD pipelines for data integration and ML deployment.
• Create cloud-based infrastructure for training, processing, and serving ML models.
• Automate data validation, transformation, and orchestration workflows.
• Collaborate with data scientists and engineers to productionize ML solutions.
• Improve monitoring, model serving, and reliability in production.
• Maintain data lineage, reproducibility, and versioning across ML workflows.

Conhecimentos

Data DevOps

MLOps

Cloud Platforms

Infrastructure as Code

Kubernetes

Docker

Python

Model Deployment

Problem Solving

Documentation

Formação académica

Bachelor's or Master's in Data Engineering or Computer Science

Ferramentas

Kubernetes

Docker

Databricks

Apache Spark

PyTorch

TensorFlow

Pandas

GitHub Actions

GitLab CI/CD

Jenkins

Kubeflow

MLflow

Terraform

Ansible

Descrição da oferta de emprego

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 drive innovation and efficiency throughout our data and machine learning operations.ResponsibilitiesBuild, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deploymentCreate a solid cloud-based infrastructure foundation for training, processing, and serving machine learning modelsStreamline operations by automating essential workflows like data validation, transformation, and orchestrationWork alongside cross-functional teams, such as data scientists and engineers, to bring ML solutions into productionEnhance performance monitoring, model serving, and reliability within production environmentsMaintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experimentsSpot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalabilityApply strict security protocols to protect data while maintaining compliance with applicable regulationsTroubleshoot and fix technical problems within ML deployment workflows and data pipelinesRequirementsA Bachelor's or Master's degree in Data Engineering, Computer Science, or a related disciplineAt least 8 years working in MLOps, Data DevOps, or similar fieldsStrong command of cloud platforms including GCP, AWS, or AzureProficiency with Infrastructure as Code tools such as Ansible, CloudFormation, or TerraformHands-on knowledge of orchestration and containerization technologies like Kubernetes and DockerPractical experience using data processing frameworks such as Databricks and Apache SparkStrong Python skills along with familiarity with libraries like PyTorch, TensorFlow, and PandasFamiliarity with CI/CD tools including GitHub Actions, GitLab CI/CD, and JenkinsExperience working with MLOps platforms and version control systems such as Kubeflow, MLflow, and GitWorking knowledge of alerting and monitoring tools such as Grafana and PrometheusSolid ability to solve problems and make decisions independentlyStrong technical documentation and communication abilitiesNice to haveExperience with DataOps tools and methodologies such as dbt or AirflowFamiliarity with data governance platforms like CollibraExposure to Big Data technologies such as Hive or HadoopCertifications related to data engineering tools or cloud platformsWe 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.)