Stellenbeschreibung

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world.  It starts with YOU. 
 
In this role, you will:
•    Working with data scientists/ai engineers and developers to identify opportunities for AI solutions and help drive their implementation on Azure.
•    Manage and enhance our internal AI observability platform, ensuring it meets the evolving needs of the organization.
•    Implement and maintain end-to-end MLOps/LLMOps pipelines, integrating seamlessly with the observability platform.
•    Develop and optimize APIs, with a focus on FastAPI, to facilitate smooth interactions between data science and the observability platform.
•    Collaborate with cross-functional teams to integrate observability features into the AI/Gen AI lifecycle, enhancing model monitoring and debugging capabilities.
•    Establish and maintain robust monitoring, logging, and alerting systems for AI/Gen AI applications.
•    Work closely with data scientists and engineers to troubleshoot issues, optimize performance, and enhance overall system reliability.
•    Automating the deployment and management of Azure resources using tools such as Terraform and Azure DevOps
•    Working with security teams to ensure that Azure resources are compliant with security policies and regulations.

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 technical 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/IT, Engineering, or a related field.
•    6+ years of experience in machine learning, deep learning, and natural language processing.
•    Proficiency in MLOps/LLMOps tools and technologies, including but not limited to Kubernetes, Docker, and orchestration frameworks.
•    Implement MLOps/LLMOps processes to manage the end-to-end lifecycle of AI/Gen AI models.
•    Strong API development skills, particularly with FastAPI, and a solid understanding of RESTful principles.
•    In-depth knowledge of the AI/Gen AI lifecycle, with a focus on observability and monitoring aspects.
•    Expertise in version control systems (e.g., Git) and collaborative development workflows.
•    Experience with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services to support AI workload.
•    Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience deploying AI/Gen AI models in cloud environments. 
•    Excellent problem-solving and communication skills, with the ability to work effectively in a team environment.

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.

#LI-Hybrid

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