Friday, December 1, 2023

Hindustan Unilever Limited Off campus Drive 2023 | Join as Machine Learning Ops Manager in Bangalore | Placement Officer

   

Welcome to https://www.placement-officer.com/  - Job Portal for Freshers (We care for Your Placements)
With more than 7.5 Million Views


Get the latest updates on Jobs for Freshers, Off Campus Drive, Off Campus Placement, upcoming Off Campus Drive, Government Jobs, Sarkari Naukri, Internships, Pool Campus Drive, Joint Campus Drive, Jobs for 2023 Batch, 2024 Batch, 2025 Batch, 2022 Batch, 2021 Batch, Walk-in-Interview

Hindustan Unilever Limited Off-campus Drive 2023, Machine Learning Ops Manager Position at Hindustan Unilever Limited Bangalore, How to Apply for Hindustan Unilever Limited Machine Learning Ops Manager Role,

Hindustan Unilever Limited Off campus Drive 2023 | Join as Machine Learning Ops Manager in Bangalore | Placement Officer

Details
Hindustan Unilever Limited (HUL) is hiring for the role of Machine Learning Ops Manager!
Responsibilities of the Candidate:

  • Work with MLOps Sr Manager to transition models into the production environment, once development and testing are complete
  • Work with the Data Science CoE to ensure that appropriate model maintenance guidelines and monitoring framework are in place for the hand-over of model ownership from the Data Science CoE to Solution Factory DevOps
  • Monitor and manage models in production, including retraining, monitoring model quality, data, and model drifting.
  • Plan and manage the model optimization and CI/CD automation tasks for the team Governance on the incident management, routine MLOps activities
  • Provide regular overall quality reports to senior management Manage Data Science solution DevOps requests with the Engagement Team to deliver maintenance/ minor enhancements as appropriate Coordinate and work with Data Science CoE to deliver significant model maintenance/ enhancement work 

Requirements:

  • End-to-end knowledge of advanced analytics models and lifecycle management
  • Knowledge of Azure Machine Learning, Databricks, in particular experiment tracking, MLFlow, and integration between  MLFLow and Azure Machine Learning Services
  • Knowledge of the most common data science algorithms and libraries (Spark MLlib, Scikit Learn…) Strong code lifecycle management and CI\CD knowledge, in particular, GitHub and Azure DevOps Strong operation and service management skills
  • Wide experience in project and team management
  • Machine Learning qualification Knowledge of container technology, in particular Docker, ACS, Kubernetes Python, and PySpark coding experience Deep learning tools and techniques
  • Strong Design Thinking/Agility and innovation mindset – intellectually curious, constantly looking to develop, embrace change with a sense of urgency, and enjoys positively challenging status quo
  • Personal drive and ability to inspire and engage others towards action
  • Personal mastery –emotionally resilient; always bringing the best of themselves
  • Credible business acumen – shows an understanding of business, commercials, and performance metrics.  Has gravitas to effectively influence senior stakeholders within a functional and business context
  • Encourages experimentation, bringing the outside in, and intelligent risk-taking
  • Brings the voice of the consumer and internal customer into everything they do
  • Passion for high performance – creating motivation and focus to drive execution at speed
  • A talent catalyst – encouraging collaboration and inclusivity, empowering teams to be their best

 

Apply Link: Click Here To Apply for Hindustan Unilever Limited (HUL)

 

 

 

 

Apply Link: Click Here To Apply for Hindustan Unilever Limited (HUL)

 

Important Links   

Click Here To Join WhatsApp Group (XI) 

Click Here to get a Free Job Alert on Email  

Click Here To Join Telegram Group    

Follow and Upvote in Quora Space 

Click Here To Follow us on Facebook

Follow Us On Twitter  

 

If you are satisfied with www.placement-Officer.com then kindly like & Share with more people

Thanks   

 

 





0 comments:

Post a Comment