AI/ML Development Engineer, RD&E

AI/ML Development Engineer, RD&E

Job Description

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.

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.

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.

Led by Purpose. Driven by You.

About You

You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring.  You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.
You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

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.

Total Benefits

Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see www.mykcbenefits.com.
 

Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions. Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.

Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.

Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.

Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world.  We actively seek to build a workforce that reflects the experiences of our consumers.  When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.

Salary Range: $106,000-$131,00 USD

At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit-Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.

Additional information about the compensation and benefits for this role are available upon request. You may contact 866-444-4516 – when prompted for employee ID, say “OTHER CALLER” - or [email protected] for assistance. You must include the six-digit Job # with your request.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

Salary Range: 105,740 – 130,620 USDAt Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.

Primary LocationUSA-GA-Atlanta-Roswell

Additional LocationsUSA-REMOTE, USA-WI-Neenah

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time