You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.
As a Digital Technology Solutions (DTS) AI/ML Engineer, you will be instrumental in the development and maintenance of our internal AI and Generative AI capabilities and solutions that drive faster innovation velocity and speed to market with our Research & Development organization. This role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles.
Role will report to a Senior Manager in the DTS organization that supports the Kimberly-Clark R&D business function. Role will not have any direct reports. Key Interfaces: Product Owner, Business Analyst, Business Client, Solution Architects, Platform Architect, Data Engineers, Software Engineers, and Scrum Master. External Interfaces: Consultants and software vendors. Travel may include approximately 0-10% of work time.

ABOUT US

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.
At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.

IN THIS ROLE, YOU WILL:

• Participate in research and innovation of data science projects that have impact to our products and customers globally.
• Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production.
• Design and build systems which improve machine learning scalability, usability and performance.
• Work with data scientists and data engineers to build pipeline to train and deploy models.
• Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists and data scientists, other stakeholders throughout the AI development life cycle.
• Lead the development, deployment, and maintenance of our AI solutions focusing on scalability, efficiency, and functionality.
• Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models.
• Create requirements for APIs to support the operational needs of AI models and services.
• Collaborate with ML Engineers, Data Scientists, and software developers to onboard existing and new AI use cases onto the observability platform, ensuring optimal integration.
• Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.
• Research, write documents and technical requirements, white papers.
• Lead and transform data science prototypes.
• Design AI applications using efficient ML models.
• Select appropriate datasets and data representation methods.
• Explore the state-of-the-art technologies and apply them to deliver customer benefits.
• Think pragmatically when introducing new technologies. Balance the demand for short-term goals to meet project deadlines, with the need for longer-term and innovative solutions.
• Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provide guidance and leadership to more junior engineers.
• Conduct thorough code reviews and provide constructive feedback to peers, fostering a culture of excellence and continuous improvement.
• Manage communications and requirements from different stakeholders, ensuring clarity and alignment on project goals and timelines.
• Keep abreast of the latest trends and advancements in AI, Machine Learning, LLMs, LLMOps, and software engineering to drive innovation within our platforms and services.
• Effectively communicate results to peers and leaders.

In one of our professional roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of strong, hand-on data science and machine learning engineering experience developing and maintaining AI solutions.
• Experience with multiple complex scenarios and data modelling.
• Proficiency with Databricks required.
• Proficiency with Python required.
• Experience with the Azure cloud computing platform required.
• Complex business problem solving experience.
• Diversity of work in data science, problem solving, and creating algorithms preferred.
• Experience with statistical modeling techniques preferred.
• Experience with API development preferred.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy), with specific experience in implementing and managing large language models (LLMs) preferred.
• Solid grasp of software engineering principles, including but not limited to version control (Git), CI/CD practices, and automated testing.
• Excellent problem-solving skills, ability to work in a team environment, and strong communication skills to interact with various stakeholders