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 cutting-edge projects that deliver the most creative and cutting-edge solutions, and have an prospect 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._

Responsibilities
Design and maintain scalable MLOps infrastructure within the Azure ecosystem
Develop and optimize CI/CD pipelines for machine learning model deployment and integration
Utilize Docker for containerization and orchestrate containers with Kubernetes
Implement and manage complex data pipelines for processing large-scale unstructured data
Collaborate with data scientists and data engineers to streamline model lifecycle processes




Leverage Azure ML services such as Azure Databricks and Azure ML Workspace for end-to-end workflows
Ensure reliability, scalability, and performance of machine learning systems in production environments

Requirements:
12 to 16 years of overall experience, with robust proficiency in Python for scripting and automation
Hands-on experience with Azure Machine Learning, Azure Databricks, and a strong understanding of Azure cloud services
Practical expertise in Docker, CI/CD pipelines using tools like Azure DevOps, and Kubernetes orchestration
Proven ability to design and manage complex data pipelines, particularly for unstructured data
Azure certifications (e.g., Azure Data Engineer, AI Engineer, or DevOps Engineer)
Competency with Infrastructure as Code tools like Terraform or ARM templates
Understanding of monitoring and logging tools for ML models, such as Prometheus, Grafana, or Azure Monitor
Advanced degree in Compu

📌 Mlops Architect Pune
🏢 EPAM Systems
📍 Pune