Lead Systems Engineer - Data DevOps/MLOps

TymblHub; Pune District; On-site; INR 3,830,000 - 4,230,000; Full time

Job summary

EPAM Systems in Pune, India seeks a Lead Systems Engineer with Data DevOps/MLOps expertise to drive scalable ML infrastructure and production pipelines. You will build CI/CD, manage cloud-based training/serving, and collaborate with data scientists to deploy reliable ML solutions while enforcing data governance and security standards.

Expect a senior, hands-on role with focus on reproducibility, monitoring, and performance, leveraging Kubernetes, Docker, Databricks, and MLflow.

Qualifications

• Bachelor's or Master's in Data Engineering, Computer Science, or related field.
• 8+ years in MLOps, Data DevOps, or similar experience.
• Strong command of cloud platforms (GCP/AWS/Azure).
• Proficiency with IaC tools: Ansible, CloudFormation, Terraform.
• Hands-on with Kubernetes and Docker in production environments.
• Experience with Databricks and Apache Spark for data processing.
• Strong Python skills; familiarity with PyTorch, TensorFlow, Pandas.
• CI/CD experience using GitHub Actions, GitLab CI/CD, Jenkins.
• Experience with Kubeflow, MLflow, and Git for MLOps workflows.
• Monitoring/alerting with Grafana and Prometheus.

Responsibilities

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

Skills

Data DevOps

MLOps

CI/CD

Cloud (GCP/AWS/Azure)

Kubernetes

Docker

Python

PyTorch/TensorFlow

Pandas

Kubeflow/MLflow

Git

Databricks

Apache Spark

CI/CD Tools

Education

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

Tools

Ansible

CloudFormation

Terraform

Kubernetes

Docker

Databricks

Apache Spark

GitHub Actions

GitLab CI/CD

Jenkins

Kubeflow

MLflow

Grafana

Prometheus

PyTorch

TensorFlow

Job description

# Lead Systems Engineer - Data DevOps/MLOpsEPAM SystemsPosted on October 8, 2026---Experience8 - 12 yrsSalary (CTC)₹38.3L - ₹42.3LJob LocationPune, 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 drive innovation and efficiency throughout our data and machine learning operations.**Responsibilities*** Build, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deployment* Create a solid cloud-based infrastructure foundation for training, processing, and serving machine learning models* Streamline operations by automating essential workflows like data validation, transformation, and orchestration* Work alongside cross-functional teams, such as data scientists and engineers, to bring ML solutions into production* Enhance performance monitoring, model serving, and reliability within production environments* 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 while maintaining compliance with applicable regulations* 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 discipline* At least 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* Hands-on knowledge of 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* Experience working with MLOps platforms and version control systems such as Kubeflow, MLflow, and Git* Working knowledge of alerting and monitoring tools such as Grafana and Prometheus* Solid ability to solve problems and make decisions independently* Strong technical documentation and communication abilities**Nice to have*** Experience with DataOps tools and methodologies such as dbt or Airflow* Familiarity with data governance platforms like Collibra* Exposure to Big Data technologies such as Hive or Hadoop* Certifications related to data engineering tools or cloud platforms