Dir. DDIT APD AI Platforms - Hyderabad, India - Novartis

    Novartis
    Default job background
    Full time
    Description
    About the role:

    Lead the vision, roadmap and platform engineering development for the best-in-class enterprise-wide AI Platforms with focus on the needs of the data science community to cover use cases ranging from experimentations to industrialization.

    Improve the business value of the AI platforms by working closely with Data Scientists, ML Engineers, DDIT and business partners to enable delivery of various data science and AI use cases.

    Drive continuous platform improvements ensuring robust operations, architecture, cost efficiency and optimization

    Your responsibilities include but are not limited to:

    • Lead platform engineering with focus on enabling end to end capabilities for data scientists, across AI Platforms. Enable teams to demonstrate the platform for a wide range of data science and AI use cases from experimentations to industrialization.
    • Deliver self-serve capabilities enabling data scientists to create environments for POC / POV / Industrialization of machine learning models.
    • Create guidelines and shared libraries, drive standardization, incorporating MLOps, DevOps and SecOps standard methodologies into the machine learning tools and processes, Coach other Internal and External resources throughout the implementation and support of the data science products and capabilities
    • Responsible for regular reviews with the delivery teams, to ensure all the tasks are in alignment with approved solution architecture for all the use cases under their scope. Govern the overall roadmap, capabilities, tool selection and design.
    • Perform assessments on use cases on-boarding on to the platforms to ensure alignment to platform governance, frameworks, and principles. Pro-actively engage with Technology & Platform partner to jointly strive for innovation and engage in Design Partnerships
    • Ensure on time, within budget, compliant, secure, and quality delivery of portfolio.
    Continuous improvement to automate capabilities, simplify landscape and reduce cost.


    • Lead the team members and provide thought leadership aligned with expected results ensuring consistency of implementation approach and alignment to applicable methodologies, processes, tools, and standards.
    • Ensure alignment to ISRM, Legal, ethics and other compliance policies and procedures in defining architecture standards, patterns, and platform solutions.