Lead Systems Engineer - Data DevOps/MLOps

EPAM Systems; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Benefits offered by this job

Healthcare benefits

Learning opportunities

Tech Talks & Hackathons

Job summary

EPAM Systems, Inc. is seeking a Lead Systems Engineer with Data DevOps/MLOps expertise to enhance efficiency and drive innovation in data and ML operations. The role focuses on building CI/CD pipelines, establishing cloud infrastructure for ML, and automating data workflows.

You will collaborate with data engineers and scientists to productionize ML solutions, improve monitoring, and ensure secure, compliant workflows across distributed teams. A strong cloud and DevOps background is required.

Qualifications

• Bachelor's or Master's degree in Data Engineering, Computer Science, or related area.
• 8+ years in MLOps/Data DevOps or related fields.
• Strong cloud platform experience (GCP/AWS/Azure).
• Proficiency with IaC (Ansible/CloudFormation/Terraform).
• Experience with Kubernetes and Docker for scalable deployments.
• Hands-on with Databricks/Spark and ML frameworks (PyTorch, TensorFlow).
• Solid CI/CD using GitHub Actions, GitLab CI/CD, or Jenkins.
• Familiar with Kubeflow/MLflow and data governance tools.
• Monitoring with Grafana/Prometheus; strong scripting and data versioning knowledge.

Responsibilities

• Build, launch, and oversee CI/CD pipelines for data and ML workflows.
• Create robust infrastructure for training, processing, and serving models on cloud platforms.
• Automate data transformation, validation, and orchestration to streamline ML pipelines.
• Collaborate with data engineers/scientists to productionize ML solutions.
• Improve reliability, performance, monitoring, and model serving in production.
• Maintain reproducibility, lineage tracking, and data versioning across experiments.
• Apply security controls to protect data and ensure regulatory compliance.
• Troubleshoot and resolve issues in ML deployment and data pipelines.

Education

Bachelor's or Master's degree in Data Engineering, Computer Science, or related area

Tools

GCP

AWS

Azure

Ansible

CloudFormation

Terraform

Kubernetes

Docker

Databricks

Apache Spark

PyTorch

TensorFlow

Pandas

GitHub Actions

GitLab CI/CD

Jenkins

Kubeflow

MLflow

Grafana

Prometheus

Collibra

dbt

Airflow

Hive

Hadoop

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 help enhance efficiency and drive innovation in our data and machine learning operations.ResponsibilitiesBuild, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model rolloutCreate a strong infrastructure foundation for training, processing, and serving machine learning models through cloud-based platformsStreamline operations by automating essential workflows like data transformation, validation, and orchestrationPartner with cross-functional teams such as data engineers and scientists to bring ML solutions into live production environmentsEnhance reliability, performance monitoring, and model serving within production systemsMaintain 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 and maintain regulatory complianceTroubleshoot 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 areaOver 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 TerraformCapability in 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 JenkinsWorking knowledge of MLOps platforms and version control systems such as Kubeflow, MLflow, and GitAwareness of alerting and monitoring tools such as Grafana and PrometheusSolid ability to solve problems and make decisions independentlyStrong skills in technical documentation and communicationNice to haveExperience with DataOps tools and methodologies such as dbt or AirflowFamiliarity with data governance platforms such as CollibraExposure to Big Data technologies like Hive or HadoopCertifications demonstrating expertise in 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.)