GenAI ML Engineer, Data Science

Job Description

Kenvue is currently recruiting for-

Generative AI ML Engineer,Data Science

Lead the development of generative AI models and algorithms for various applications in the field of information technology. Collaborate with cross-functional teams to identify business needs and develop solutions using generative AI. Stay up-to-date with the latest advancements in AI/ML in general and implement them in the development process. Design and implement experiments to evaluate the performance of AI models and algorithms. Create technical documentation and presentations to communicate complex concepts to non-technical stakeholders. Mentor and train junior engineers on AI concepts and best practices.

This position reports into the Senior Director, Data Science and is based in Bangalore.

Who We Are

At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here .

What You Will Do

The Generative AI ML Engineer is responsible for leading the development of AI models and algorithms for various applications in the field of information technology. This role supports business growth objectives by driving innovation and implementing cutting-edge technology solutions.

Key Responsibilities

• Lead the development of AI models and algorithms for various applications in the field of information technology.
• Collaborate with cross-functional teams to identify business needs and develop solutions using AI.
• Stay up-to-date with the latest advancements in AI and implement them in the development process.
• Design and implement experiments to evaluate the performance of AI models and algorithms.
• Create technical documentation and presentations to communicate complex concepts to non-technical stakeholders.
• Mentor and train junior engineers on AI concepts and best practices.