Hindustan Unilever Ltd. Recruitment Drive for 2023 Freshers

About Company : Hindustan Unilever Ltd. set up its first Indian subsidiary, Hindustan Vanaspati Manufacturing Company, followed by Lever Brothers India Limited (1933) and United Traders Limited (1935). These three companies merged to form HUL in November 1956; HUL offered 10% of its equity to the Indian public, being the first among the foreign subsidiaries to do so. The accolades we have been garnering can be attributed to our undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of our esteemed customers.

Company Full Name : Hindustan Unilever Ltd.
Job Role : Machine Learning Ops Manager
Degree Needed : B.E/B.Tech/M.E/M.Tech
Batch : 2022/2023
Location : Bangalore

Job Description :
Roles and Responsibility :

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

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Required Qualification and Skills :

To be eligible for this position, you should meet the following 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