Job Description

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:


Understand the business problem, analyse the data, and define the success criteria Work with engineering team and architecture teams for data identification and collection, harmonization, and cleansing for the data analysis and preparation Responsible for analysing and identifying appropriate algorithms for the defined problem statement Analyse additional data inputs and methods that would improve the results of the models and look for opportunities Responsible for building models that are interpretable, explainable and sustainable at scale and meets the business needs Build visualizations and demonstrate the results of the model to the stakeholders and leadership team Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies Ensure that our development and deployment are tightly integrated to each other to maximize the deployment user experience Curator for all code and binary artifact repositories (containers, compiled code). Work with AI strategists, DevOps, data engineers/SMEs from domain to understand how data availability and quality affects model performance Develop and disseminate innovative techniques, processes and tools, that can be leveraged across the AI product development lifecycle.

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:


Experience building ML models in a modern cloud-based architecture 4+ years of demonstrated experience in developing highly scalable, reliable, and resilient multi-tenanted ML algorithms for large scale use cases in Supply chain(logistics, manufacturing, procurement etc..) Sales and Marketing, Revenue management and other business areas. 4+ years of demonstrated experience in developing ML pipelines on various frameworks on AWS, Azure, or similar cloud platforms Proficient and experienced in Python and SQL for data analysis and exploration Experience in cloud based solutioning and managing enterprise grade end to end machine learning solutions with automated pipelines for data processing, feature engineering, training, evaluation, deployment, integration and monitoring Hands-on experience with Docker, Kubernetes and the cloud infra like Azure, AWS, GCP and on machine learning tools like Azure Machine Learning, Amazon Sagemaker, MLFlow, KubeFlow, etc in production Experience in end-to-end AI life cycle including Data science, technical experience in AI, machine learning, predictive modelling, Natural Language Processing (NLP), Deep learning, advanced analytics and statistics modelling, Python, SQL, Azure/AWS/GCP Experience on model monitoring, explainability, model management, version tracking & storage and AI governance Deployment of models, Docker, ML Pipelines, Azure Machine Learning Knowledge on SQL/NoSQL databases, microservices and REST APIs, docker Strong Knowledge on source code management, configuration management, CI/CD, security and performance Ability to look ahead to identify opportunities and thrive in a culture of innovation Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business' and customer's vision and requirements Experience in building, testing, and deploying code to run on Azure cloud datalake A can-do attitude in anticipating and resolving problems to help your team to achieve its goals Must have experience in Agile development methods

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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