We are looking for a detail-oriented and motivated
Senior Systems Engineer
with a strong focus on Data DevOps/MLOps to join our team.

The ideal candidate should possess a deep understanding of data engineering, automation of data pipelines, and integration of machine learning models into operational environments. This role is for a cooperative professional adept at building, deploying, and managing scalable data and ML pipelines aligned with strategic objectives.

Responsibilities
- Design CI/CD pipelines for data integration and machine learning model deployment
- Deploy and maintain infrastructure for data processing and model training using cloud services
- Automate processes like data validation, transformation, and workflow orchestration
- Coordinate with data scientists, software engineers, and product teams to integrate ML models into production environments
- Enhance performance and reliability by optimizing model serving and monitoring processes
- Ensure data versioning, lineage tracking, and reproducibility across ML experiments




- Identify improvements for deployment processes, scalability, and infrastructure resilience
- Implement security measures to safeguard data integrity and maintain compliance
- Resolve issues in the data and ML pipeline lifecycle

Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- 5 or more years of experience in Data DevOps, MLOps, or related professions
- Proficiency in cloud platforms such as Azure, AWS, or GCP
- Background in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
- Skills in using data processing frameworks like Apache Spark or Databricks
- Proficiency in Python, with familiarity with data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorch
- Familiarity with CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions
- Knowledge of

📌 Senior Systems Engineer (Coimbatore)
🏢 EPAM Systems
📍 Coimbatore