Developer- MLOPS

Role Overview: You will be responsible for designing, developing, and maintaining complex, high-performance, and scalable MLOps systems that interact with AI models and systems. Additionally, you will collaborate with cross-functional teams to understand requirements, define project scope, and ensure alignment with business goals. Your role will involve offering technical leadership and expertise in choosing, evaluating, and implementing software technologies in a cloud-native (Azure + AML) environment. Troubleshooting and resolving intricate software problems, participating in project planning and estimation, contributing to CI/CD pipelines, data pipelines, and storage systems, as well as driving integration of GenAI models in production workflows will be part of your responsibilities. Key Responsibilities: - Design, develop, and maintain complex, high-performance, and scalable MLOps systems. - Cooperate with cross-functional teams to understand requirements and define project scope. - Offer technical leadership in choosing and implementing software technologies in a cloud-native environment. - Troubleshoot and resolve intricate software problems for optimal performance. - Participate in project planning, resource allocation, and timely solution delivery. - Contribute to the development of CI/CD pipelines, data pipelines, and storage systems. - Drive integration of GenAI models in production workflows. - Support edge deployment use cases via model optimization and containerization. - Contribute to the creation and maintenance of technical documentation. Qualifications Required: - 3+ years of experience in machine learning operations or software/platform development. - Strong experience with Azure ML, Azure DevOps, Blob Storage, and containerized model deployments on Azure. - Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++. - Experience with Azure cloud platform, machine learning services, and best practices. Please note that candidates with a maximum 1-month notice period are preferred. Interested Candidates can also share the resumes on shraddha@careerstone.in.,