Director(ml Engineering, Ml Ops, Project Management & Governance)

Year    Hyderabad, Telangana, India

Job Description




Location: Hyderabad

About the role:\xe2\x80\xa2 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.

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.
Minimum requirements
  • 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 people\'s 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

Functional Area

BD&L & Strategic Planning

Division

Operations

Business Unit

DATA, DIGITAL & IT

Employment Type

Regular

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Shift Work

No

Early Talent

No

Novartis

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Job Detail

  • Job Id
    JD3153441
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Hyderabad, Telangana, India
  • Education
    Not mentioned
  • Experience
    Year