Job
Description
You we're 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, we'llbeing, 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 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, we'llbeing, 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 S upply 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
