Lead Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain CI/CD pipelines for data integration and ML model deployment.
Build and optimize cloud-based infrastructure for ML processing, training, and model serving.
Collaborate with cross-functional teams to operationalize ML solutions and ensure production reliability and security.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Minimum 8 years of hands-on experience in Data DevOps, MLOps, or equivalent domains.
Proficiency in cloud platforms (Azure, AWS, or GCP), Infrastructure as Code tools (Terraform, CloudFormation, Ansible), and container orchestration (Docker, Kubernetes).
Experience with data processing frameworks (Apache Spark, Databricks), Python programming, CI/CD tools (Jenkins, GitLab CI/CD), and MLOps platforms (Git, MLflow, Kubeflow).
Ideal Candidate Profile
Experienced in building scalable, secure, and automated ML infrastructure across cloud platforms.
Comfortable working closely with data scientists and engineers to move ML models into production environments.
Strong technical documentation and communication skills with ability to independently troubleshoot and optimize ML deployment pipelines.