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Summary Location: Hyderabad Lead & govern the enterprise scale data science programs and product development with a problem-solving attitude through deep understanding of the pharmaceutical industry and machine learning in production. A strategic problem solver with ability to communicate and influence senior level leadership and collaborate within a multi-functional / matrix organization. About The Role Your responsibilities include but not are limited to Responsible for collaborating with senior customers in the business units, business facing data science teams, and other technical teams in Novartis to gather and understand the business requirements for data science projects Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements. This includes Data Collection & Labeling, Data & Model workflows, and Model Evaluation tools. Direct a. team of expert engineers and mentor new engineers in a sophisticated technology based environment. Provide both technical guidance and career mentorship. Partner with the data science delivery teams to understand the current inventory, identify and document the risks and challenges involved and provide monthly and quarterly updates to DDIT LT Responsible for maintaining and governing the project repository (Ongoing, pipeline, emerging projects) for real time updates to Data Science Leadership team. Has hands on knowledge in designing, coding and be responsible for the implementation of scalable and efficient MLOps infrastructure, tools, workflows Leading code reviews, design reviews, the investigation & resolution of production issues, and retrospectives. Set standard development practices across your team.Has strong working knowledge of all Automation activities, CDCI and MLOPs best practices Work with internal teams to improve and automate models traceability, versioning.Build high performance data pipelines in real time for inferencing, training and ETL. A Bachelors or Masters in engineering along with solid experience in data science techniques, and AI/ML product development concepts. MBA/PGDM would be a added advantage 15+ overall years of software development experience and 8+ years of management experience Having hands on experience in working with MLOps based projects and worked across different platforms like: Azure, AWS, Databricks, Visualisation and BI tools Why consider Novartis Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn More Here https://www.novartis.com/about/strategy/people-and-culture Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams" representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Employement Category:

Employement Type: Full time
Industry: Medical / Healthcare
Role Category: Medical / Healthcare
Functional Area: Not Applicable
Role/Responsibilies: 0 Similar Jobs

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Keyskills:   Data Science Machine Learning ML Data Collection Project Management Automation ETL Software Development Management Azure AWS Visualization BI Tools AI Cloud Infrastructure ML Engineering ML Ops Model Workflows Model Evaluation Mentorship MLOps Infrastructure CDCI Data Pipelines Databricks