Mlops Azure + Azure Devops + Gen Ai (or) Ai Azure
- Virtusa
- 6 - 10 years
- Pune
- 2 months ago
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Job Description
Work Location - Bangalore / Chennai/Hyderabad/Pune/Mumbai/Gurugram
Job Requirement
Hands On experience in DevOps and MLOps practices, with a focus on managing cloud-based machine learning environments.
Model Deployment Build, optimize, and maintain cloud based environments for deploying, monitoring, and scaling machine learning models and data pipelines.
Package machine learning models into Docker containers (Relative experience in ML models)
Solid foundational knowledge of Azure Open AI and GPT LLM model fine-tuning techniques, with a strong grasp of prompt engineering principles.
Develop and automate the unified CI/CD pipelines in Azure DevOps
Hands-on experience in containerization and orchestration tools such as Docker and AKS
Work closely with data scientists to ensure smooth handoffs and integration of machine learning models into production systems
.
Automate model testing, validation, and performance monitoring for containerized solutions.
Deploy and manage code using Azure Repos, and Azure DevOps (CI/CD, Docker, Function Apps), and utilize Kubernetes Helm charts for model deployment. Implement Docker best practices.
Design and implemented a complete MLOps pipeline utilizing Azure Machine Learning in conjunction with open-source frameworks
Dockerize ML model training and serving processes, containerizing them according to specific versions, and then deployed the containers to an Azure Kubernetes environment.
Solid foundational knowledge of Azure Open AI and GPT LLM model fine-tuning techniques, with a strong grasp of prompt engineering principles.
Contribute to the establishment of a unified CI pipeline, facilitating the efficient use, synchronization, and application of common templates and files across downstream repositories using Copier and Azure Repos.
Enforce best coding practices within the MLOps pipeline, including linting, unit testing, and version validation.
Deploy and manage code using Azure Repos, and Azure DevOps (CI/CD, Docker, Function Apps), and utilize Kubernetes Helm charts for model deployment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA, Role Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full timeContact Details:
Company: VirtusaLocation(s): Pune
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Virtusa
Virtusa is a leading worldwide provider of information technology (IT) consulting and outsourcing services. We help accelerate business outcomes for Global 2000 businesses in banking and financial services, insurance, healthcare, telecommunications and media.
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