Lead Systems Engineer - Data DevOps/MLOps

EPAM · Coimbatore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: blt3xoduoysdux2c1qw

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Collected role description

We're looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps expertise to enhance innovation and streamline our data and machine learning operations. Responsibilities Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment Set up a reliable infrastructure to process, train, and serve machine learning models through cloud platforms Streamline essential workflows including data validation, transformation, and orchestration through automation Partner with cross-functional teams such as data scientists and engineers to bring ML solutions into live production environments Enhance model serving capabilities, performance tracking, and dependability within production systems Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows Spot and act on opportunities to boost scalability, efficiency, and resilience across infrastructure Apply strict security protocols to protect data and maintain compliance with applicable regulations Troubleshoot and fix technical problems within data pipelines and ML deployment processes Requirements Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline At least 8 years of experience working in Data DevOps, MLOps, or similar fields Strong command of cloud platforms including Azure, AWS, or GCP Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible Solid grasp of containerization and orchestration tools like Docker and Kubernetes Practical experience using data processing frameworks such as Apache Spark and Databricks Strong Python skills, along with familiarity with libraries like Pandas, TensorFlow, and PyTorch Familiarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions Background working with version control systems and MLOps platforms like Git, MLflow, and Kubeflow Working knowledge of monitoring and alerting tools such as Prometheus and Grafana Solid problem-solving skills paired with the ability to make independent decisions Clear communication abilities and strong technical documentation skills Nice to have Experience with DataOps approaches and tools like Airflow or dbt Familiarity with data governance platforms such as Collibra Exposure to Big Data technologies including Hadoop or Hive Certifications related to cloud platforms or data engineering tools

Collected experience requirement

8+ years