Lead MLOps Engineer, Data Science

Description

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.
What You Will Do

The Lead MLOps Engineer will be responsible for leading technology initiatives aimed at improving business value and outcomes in the areas of digital marketing and commercial analytics through the adoption of Artificial Intelligence (AI) enabled solutions.

Working with cross-functional teams across AI projects to operationalize data science models to deployed scalable solutions delivering business value.

They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and implementing MLOps process improvements, solution ideas and ways of working to be more agile, lean and productive.

The successful candidate will connect and influence business & technology partners, data engineers and data scientists to deliver a cohesive and standardized approach to development, deployment & adoption of data products and scalable AI models.

These models will be developed and operationalized across a multi-cloud technology landscape driving business focused insights and analytics.
Responsibilities:

• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc.

• Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts.

• Evolving, implementing, and advocating a global MLOps model across project teams to ensure standardization and consistency of AI solutions design, R&D though deployment and maintenance.

• Design and implement automation processes during each MLOps project phase ensuring reusable code library development, testing & adoption.

• Partner with business stakeholders and AI project teams to clearly understand business requirements; design and develop scalable AI solutions and promotion of their benefits back to business partners with an emphasis on value.

• Become a Subject Matter Expert (SME) on best usage of the teams' global data science platform driving MLOps processes and reduci...