EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a highly skilled MLOps Architect to join our team and lead the design and implementation of robust and scalable MLOps solutions on the Azure cloud platform. The ideal candidate will have a strong background in cloud-based machine learning operations, DevOps practices, and data engineering, with a focus on unstructured data in industries such as automotive.
Responsibilities
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Design and maintain scalable MLOps infrastructure within the Azure ecosystem
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Develop and optimize CI/CD pipelines for machine learning model deployment and integration
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Utilize Docker for containerization and orchestrate containers with Kubernetes
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Implement and manage complex data pipelines for processing large-scale unstructured data
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Collaborate with data scientists and data engineers to streamline model lifecycle processes
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Leverage Azure ML services such as Azure Databricks and Azure ML Workspace for end-to-end workflows
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Ensure reliability, scalability, and performance of machine learning systems in production environments
Requirements
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12 to 16 years of overall experience, with strong proficiency in Python for scripting and automation
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Hands-on experience with Azure Machine Learning, Azure Databricks, and a strong understanding of Azure cloud services
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Practical expertise in Docker, CI/CD pipelines using tools like Azure DevOps, and Kubernetes orchestration
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Proven ability to design and manage complex data pipelines, particularly for unstructured data
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Azure certifications (e.g., Azure Data Engineer, AI Engineer, or DevOps Engineer)
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Competency with Infrastructure as Code tools like Terraform or ARM templates
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Understanding of monitoring and logging tools for ML models, such as Prometheus, Grafana, or Azure Monitor
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Advanced degree in Computer Science, Engineering, Data Science, or a related field is preferred
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
