Lead Systems Engineer - Data DevOps/MLOps

TymblHub; Chennai; On-site; INR 3,670,000 - 4,100,000; Full time

Job summary

EPAM Systems in Chennai seeks a Lead Systems Engineer to drive Data DevOps and MLOps initiatives. You will design and manage CI/CD pipelines, build robust infra for ML training, processing, and serving, and collaborate with data teams to productionize ML solutions.

The role emphasizes reliability, security, and scalable data pipelines, with experience across cloud platforms and modern MLOps tools. This position is based in Chennai, India, with opportunities to influence enterprise-scale ML

Qualifications

• Bachelor's or Master's degree in Data Engineering, Computer Science or related area.
• 8+ years in MLOps, Data DevOps, or similar fields.
• Proficiency with GCP, AWS or Azure.
• IaC tools: Ansible, CloudFormation, Terraform.
• Kubernetes & Docker for orchestration & containerization.
• Experience with Databricks & Apache Spark.
• Strong Python with PyTorch, TensorFlow, Pandas.
• CI/CD tools: GitHub Actions, GitLab CI/CD, Jenkins.
• Familiar with Kubeflow, MLflow & Git versioning.
• Awareness of Grafana & Prometheus for monitoring.

Responsibilities

• Build, launch, and oversee CI/CD pipelines for data and ML models.
• Create infrastructure for training, processing, and serving ML models on cloud platforms.
• Automate data transformation, validation, and orchestration workflows.
• Collaborate with data engineers and scientists to deploy ML solutions to production.
• Improve reliability, performance monitoring, and model serving in production environments.
• Maintain reproducibility, lineage tracking, and data versioning across ML workflows.
• Identify and implement improvements for resilience, efficiency, and scalability.
• Enforce security protocols and regulatory compliance in data pipelines.
• Troubleshoot issues in ML deployment workflows and data pipelines.

Skills

Python

MLOps

Data DevOps

Cloud platforms

Databricks

Apache Spark

Kubernetes

Docker

Terraform

Terraform/CloudFormation/Ansible

GIT/GitHub Actions

PyTorch

TensorFlow

Pandas

Documentation & communication

Education

Bachelor's or Master's degree in Data Engineering/CS

Tools

Terraform

CloudFormation

Ansible

Kubernetes

Docker

GitHub Actions

GitLab CI/CD

Jenkins

Kubeflow

MLflow

Grafana

Prometheus

Job description

# Lead Systems Engineer - Data DevOps/MLOpsEPAM SystemsPosted on October 23, 2026---Experience8 - 12 yrsSalary (CTC)₹36.7L - ₹41LJob LocationChennai, IndiaVacancy1DesignationLead DevOps EngineerJob TypeNot specified---## Job DescriptionWe'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.**Responsibilities*** Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model rollout* Create a strong infrastructure foundation for training, processing, and serving machine learning models through cloud-based platforms* Streamline operations by automating essential workflows like data transformation, validation, and orchestration* Partner with cross-functional teams such as data engineers and scientists to bring ML solutions into live production environments* Enhance reliability, performance monitoring, and model serving within production systems* Maintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experiments* Spot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalability* Apply strict security protocols to protect data and maintain regulatory compliance* Troubleshoot and fix technical problems within ML deployment workflows and data pipelines**Requirements*** A Bachelor's or Master's degree in Data Engineering, Computer Science, or a related area* Over 8 years working in MLOps, Data DevOps, or similar fields* Strong command of cloud platforms including GCP, AWS, or Azure* Proficiency with Infrastructure as Code tools such as Ansible, CloudFormation, or Terraform* Capability in orchestration and containerization technologies like Kubernetes and Docker* Practical experience using data processing frameworks such as Databricks and Apache Spark* Strong Python skills along with familiarity with libraries like PyTorch, TensorFlow, and Pandas* Familiarity with CI/CD tools including GitHub Actions, GitLab CI/CD, and Jenkins* Working knowledge of MLOps platforms and version control systems such as Kubeflow, MLflow, and Git* Awareness of alerting and monitoring tools such as Grafana and Prometheus* Solid ability to solve problems and make decisions independently* Strong skills in technical documentation and communication**Nice to have*** Experience with DataOps tools and methodologies such as dbt or Airflow* Familiarity with data governance platforms such as Collibra* Exposure to Big Data technologies like Hive or Hadoop* Certifications demonstrating expertise in data engineering tools or cloud platformsAbout the company## EPAM SystemsIT Services & Consulting · Foreign MNCEPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.Newtown, Pennsylvania, United Stateswelcome.epam.in