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Specialist I - MLOPS (Lead/Architect)

2 - 15 years

0 Lacs

pune maharashtra

Posted:17 hours ago| Platform: Shine logo

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Skills Required

production engineering product management production environment

Work Mode

On-site

Job Type

Full Time

Job Description

As a Specialist in ML Engineering at UST, your role will involve enabling the deployment of AI/ML models and Gen AI applications from development environments to production environments. You will be responsible for managing the development of the UST xpresso.ai platform and providing customized MLOps services for clients on various platforms like AWS Sagemaker, Azure, Databricks, Google Vertex, etc. Key Responsibilities: - **Leadership and Strategy:** - Define and lead the vision, strategy, and roadmap for the company's MLOps service offerings. - Build, mentor, and scale a high-performing team of ML engineers and MLOps engineers. - Ensure the team is skilled in the latest MLOps developments and best practices, fostering knowledge sharing. - Participate in business development opportunities as required. - **Project and Delivery Management:** - Oversee the delivery of multiple concurrent AI/ML/Gen AI projects, ensuring quality, scalability, and business value. - Establish and monitor KPIs for successful project execution and customer satisfaction. - Drive operational excellence in project governance, timelines, and budgets. - **Technical Oversight:** - Provide architectural and strategic guidance on MLOps best practices such as CI/CD for ML, model monitoring, data governance, and compliance. - Guide best practices on cloud-native MLOps platforms like AWS Sagemaker, Google Vertex AI, Azure ML Studio, etc. - Stay updated on emerging trends in AI/ML/LLMOps and incorporate them into service offerings. - **Stakeholder and Client Engagement:** - Collaborate with internal teams, clients, and cloud providers to design and deliver robust AI/ML/Gen AI solutions. - Act as a trusted advisor to enterprise customers on AI/ML operationalization. Qualifications Required: - **Education:** - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Additional certifications in Cloud (AWS/Azure/Google) are desirable. - **Experience:** - 15+ years of experience in IT services or software delivery. - At least 5 years of proven leadership managing large, cross-functional teams. - 2+ years of hands-on MLOps experience. - Experience working with at least one major cloud MLOps platform (AWS, Azure, Google), preferably Azure. - Exposure to Generative AI technologies is highly desirable. - **Skills:** - Strong understanding of AI/ML development workflows and their operational challenges. - Deep expertise in project management, with a track record of delivering large-scale IT/AI initiatives. - Excellent leadership, communication, and stakeholder management skills. In this role, you will be instrumental in leading the MLOps Service team at UST, driving innovation, and delivering cutting-edge solutions to our clients in the AI/ML space.,

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