Go to searchSenior Systems Engineer - Data DevOps/MLOps
Hybrid in Coimbatore, Bangalore, Hyderabad, Chennai, Pune, Gurgaon
Data DevOps& others
We're seeking a motivated, detail-oriented Senior Systems Engineer who specializes in Data DevOps/MLOps to join our team.
The right candidate will have strong expertise in data engineering, pipeline automation, and embedding machine learning models into live operational systems. This position suits a collaborative individual skilled at creating, launching, and overseeing scalable data and ML pipelines that support organizational goals.
Responsibilities
- Build CI/CD pipelines to support data integration and ML model deployment
- Set up and manage cloud-based infrastructure for data processing and model training
- Streamline operations through automation of data validation, transformation, and workflow orchestration
- Partner with data scientists, software engineers, and product teams to bring ML models into production
- Boost reliability and performance through optimized model serving and monitoring
- Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments
- Pinpoint opportunities to strengthen deployment workflows, scalability, and infrastructure resilience
- Apply security protocols to protect data integrity and uphold compliance standards
- Troubleshoot and resolve issues throughout the data and ML pipeline lifecycle
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related discipline
- At least 5 years of experience working in Data DevOps, MLOps, or similar roles
- Hands-on experience with cloud platforms including Azure, AWS, or GCP
- Working knowledge of Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Strong command of containerization and orchestration solutions like Docker and Kubernetes
- Experience working with data processing frameworks such as Apache Spark or Databricks
- Solid Python skills, along with familiarity with ML and data libraries like Pandas, TensorFlow, or PyTorch
- Exposure to CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions
- Familiarity with Git and MLOps platforms including MLflow or Kubeflow
- Experience with monitoring, logging, and alerting tools like Prometheus or Grafana
- Strong analytical and problem-solving skills, with the ability to work solo or as part of a team
- Clear communication skills paired with strong documentation habits
Nice to have
- Exposure to DataOps methodologies and tools such as Airflow or dbt
- Awareness of data governance frameworks and platforms like Collibra
- Familiarity with Big Data technologies including Hadoop or Hive
- Certifications related to cloud platforms or data engineering