Senior Systems Engineer - Data DevOps/MLOps

EPAM Systems India Pvt Ltd; India; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

EPAM Systems India Pvt Ltd is seeking a Senior Systems Engineer specializing in Data DevOps and MLOps to join a collaborative team across multiple Indian cities. You will design and deploy CI/CD pipelines for data and ML models, manage cloud infrastructure, and automate data workflows end-to-end.

The role requires strong Python skills, experience with Docker/Kubernetes, and familiarity with ML tools like TensorFlow, PyTorch, and MLflow. Excellent collaboration and documentation are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• Experience in Data DevOps, MLOps or similar roles is required.
• Hands-on cloud experience with Azure, AWS, or GCP is expected.

Responsibilities

• Design CI/CD pipelines for data integration and ML model deployment.
• Deploy and maintain cloud-based infra for data processing and model training.
• Automate data validation, transformation, and orchestration workflows.
• Collaborate with data scientists and engineers to productionize ML models.
• Improve model serving, monitoring, and reliability.

Skills

Data DevOps

MLOps

Python

Docker

Kubernetes

Cloud platforms

Terraform

Spark

Databricks

CI/CD

MLflow

Kubeflow

Pandas

TensorFlow

PyTorch

Git

Education

Bachelor's or Master's in CS/Data Eng

Tools

Terraform

CloudFormation

Ansible

GitHub Actions

Databricks

Apache Spark

Job description

# Senior Systems Engineer - Data DevOps/MLOpsHybrid in Coimbatore, Bangalore, Hyderabad, Chennai, Pune, GurgaonData DevOps& othersSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Platform EngineerSenior Systems Engineer - GCPSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsSenior Systems Engineer - Data DevOps/MLOpsWe're seeking a motivated, detail-oriented **Senior Systems Engineer** specializing in Data DevOps/MLOps to join our team.The right candidate will have in-depth knowledge of data engineering, data pipeline automation, and the integration of machine learning models into live environments. This position suits a collaborative individual skilled at creating, launching, and overseeing scalable data and ML pipelines that support strategic goals.Responsibilities* Design CI/CD pipelines for data integration and machine learning model deployment* Deploy and maintain cloud-based infrastructure for data processing and model training* Automate workflows such as data validation, transformation, and orchestration* Collaborate with data scientists, software engineers, and product teams to bring ML models into production* Improve performance and reliability through optimized model serving and monitoring* Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments* Pinpoint opportunities to strengthen deployment processes, scalability, and infrastructure resilience* Apply security protocols to protect data integrity and ensure compliance* Troubleshoot and resolve issues across the data and ML pipeline lifecycleRequirements* Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline* At least 5 years of experience in Data DevOps, MLOps, or similar roles* Hands-on experience with cloud platforms such as Azure, AWS, or GCP* Working knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible* Strong command of containerization and orchestration tools such as Docker and Kubernetes* Experience with data processing frameworks like Apache Spark or Databricks* Solid Python skills, including familiarity with data and ML libraries such as Pandas, TensorFlow, or PyTorch* Exposure to CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions* Understanding of version control systems like Git and MLOps platforms such as MLflow or Kubeflow* Familiarity with monitoring, logging, and alerting tools like Prometheus or Grafana* Sharp problem-solving skills with the ability to thrive independently or as part of a team* Strong communication and documentation abilitiesNice to have* Exposure to DataOps practices and tools such as Airflow or dbt* Awareness of data governance frameworks and tools like Collibra* Familiarity with Big Data technologies such as Hadoop or Hive* Certifications in cloud platforms or data engineering disciplines