Senior Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, deploy, and maintain CI/CD pipelines for data integration and ML model deployment focusing on scalability and reliability.
Manage cloud-based infrastructure for data processing and model training with automation of workflows including data validation and orchestration.
Collaborate cross-functionally to integrate ML models into production, ensuring performance optimization, monitoring, and data security compliance.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Minimum 5 years of experience in Data DevOps, MLOps, or similar roles.
Proficiency in cloud platforms (Azure, AWS, or GCP) and Infrastructure as Code tools (Terraform, CloudFormation, or Ansible).
Hands-on experience with containerization/orchestration (Docker, Kubernetes), CI/CD tools, data processing frameworks (Apache Spark or Databricks), Python, and version control systems (Git).
Ideal Candidate Profile
Candidate with strong expertise in building scalable data and ML pipelines in cloud environments demonstrating operational ownership of end-to-end deployment.
Experience working closely with data scientists and engineering teams to productionize ML models, emphasizing automation, reproducibility, and monitoring.
Proven ability to optimize deployment processes for performance, security, and resiliency in multi-disciplinary team settings.