Back to SearchSenior Systems Engineer - Data DevOps/MLOps
Hybrid in India: Coimbatore, & 5 others
Data DevOps& 19 others
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We'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 lifecycle
Requirements
- 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 abilities
Nice 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