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Lead Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc.
Chennai, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
MLOpsMLflowKubeflowCI/CDDockerKubernetes
Free
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MLOpsMLflowKubeflow
Key Skills for This Role
MLOpsMLflowKubeflowCI/CDDockerKubernetes
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Responsibilities
- Design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment
- Establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions
- Automate critical workflows such as data validation, transformation, and orchestration for streamlined operations
- Collaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environments
- Improve model serving, performance monitoring, and reliability in production ecosystems
- Ensure data versioning, lineage tracking, and reproducibility across ML experiments and workflows
- Identify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructure
- Enforce rigorous security measures to safeguard data and ensure compliance with relevant regulations
- Debug and resolve technical issues in data pipelines and ML deployment workflows
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- 8+ years of experience in Data DevOps, MLOps, or related disciplines
- Expertise in cloud platforms such as Azure, AWS, or GCP
- Skills in Infrastructure as Code tools like Terraform, CloudFormation, or Ansible
- Proficiency in containerization and orchestration technologies such as Docker and Kubernetes
- Hands-on experience with data processing frameworks including Apache Spark and Databricks
- Proficiency in Python with familiarity with libraries including Pandas, TensorFlow, and PyTorch
- Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub Actions
- Experience with version control systems and MLOps platforms including Git, MLflow, and Kubeflow
- Understanding of monitoring and alerting tools like Prometheus and Grafana
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