We want to attract people who are not shy about being called winners
You're driven to accomplish what you know you can do and will not accept any less. Here, you'll enjoy sharpening your competitive edge and your drive to achieve. It's an adrenaline rush to be part of our culture, among confident, competent people who believe in themselves and go for the gold. The diverse backgrounds of our staff add exciting perspectives to every facet of our work. Sound right for you? Let's do this.
The MLOps Engineer is a very critical role to advance our AI Vision. The MLOps Engineer will work closely with the data scientists working on AI products and solutions across various K-C business units to take the AI models developed and operationalize and own the life cycle management of the models in production for continuous value creation The role will lead our strategic effort of AI life cycle management capabilities such as continuous deployment, model drift and behavior monitoring, model governance, retraining in alignment with business KPIs for continuous value creation for business.
Roles & Responsibilities
Provide data science expertise for AI products, programs across business units within KC
Work with teams to design and build cloud based automated pipeline that run, monitor and retrain AI/ML models using agile methodologies
Have a strategic perspective of how several ML solutions come together against a set of business objectives, product and AI strategy leading to optimal operations of the models
Enhance and improve the code deployment and model monitoring frameworks and project operations documentation
Lead the scalable implementation of solution for AI model governance and model behavior analytics
Support life cycle management of AI models (e.g., new releases, change management, monitoring, retraining, and troubleshooting)
Compare solution alternatives across both technical and business parameters which support the define cost and service requirements.
Create & evolve data & analytics technology roadmap, to align with continuously evolving business needs including overall architecture, capabilities, platforms, tools & governing processes
Create, maintain & communicate positioning/go-forward strategies for data & analytic capabilities/tools
Own strategic technology relationships with technology vendors & external communities/partners
Help define/improve best practices, guidelines & integration with other enterprise solutions
Stay educated on emerging technology trends, lead education & training for analytics community
Technical Skills:
Work across the full stack is a must have requirement, moving seamlessly between programming languages and technologies: Python, PySpark, MLFlow, Azure Databricks, ADLS, Snowflake, Azure DevOps, API, Kuberenetes etc.
Hands-on experience with cloud analytics services (Primarily Azure and GCP)
Infrastructure (Server, Storage, and Database) discovery, design, build, and migration experience
Experience in any of Messaging platforms (Kafka, Azure EventHub, Iot Hub, etc. )
Experience in Kubernetes and Microservices
Knowledge of various database technologies – SQL, NoSQL, Blob, file system, object store etc.
Create and develop CI/CD Pipelines that allow for controlled and continuous enhancement of existing work and new features during both development and production phases
Experience in building and optimizing big data pipelines, architectures and datasets
Experience supporting and working with cross-functional teams in an agile environment
Experience in agile product development
Experience in the operationalization of Data Science projects (MLOPs) in Azure and GCP
Technical/Team Leadership Experience
Good understanding of ML and AI Concepts and hands-on experience in ML Model development
Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
Basic Qualifications:
Degree in Computer Science, Statistics, Information Systems or another quantitative field with 5+ years of ML engineering experience
Minimum of 10 years of technical solutions implementation, architecture design, evaluation, and investigation in a cloud environment.
Minimum of 3 years of experience in Azure or GCP and a passion for learning new technologies (Kafka, Azure EventHub, Cloud SQL, data fusion, cloud dataprep, cloud storage, airflow/cloud composer)
5 (3 for Junior role) or more years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines
Minimum of 4 years of professional experience in Solution/technical architecture in the cloud
Minimum of 4 years of experience in Big Data/analytics/information analysis/database management in the cloud
Minimum of 1 year of experience in performing detail assessments of current state data platforms and creating an appropriate transition path to cloud
Proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; experience creating point-of-views, technology roadmaps, process diagrams
Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution
Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.)
Previous cloud Implementation/Delivery experience on Azure and/or GCP
Professional Skills Requirements:
Strong leadership and management skills
Strong communication and interpersonal skills
Strong analytical and problem-solving skills and passion for product development
Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
Professional attitude and service orientation; team player
Ability to translate business needs into potential analytics solution
Strong work ethic; ability to work at an abstract level and gain consensus
Ability to build a sense of trust & rapport to create a comfortable & effective workplace
Kimberly-Clark makes the essentials for a better life with well-known brands that matter every day – at home, school, work and on the go. Throughout our 148 years, we have challenged conventional wisdom to innovate products that better meet the needs of consumers. We have created new categories with top brands like Kleenex®, and redefined categories with Huggies® and U by Kotex®. While growing our $18+ billion global business, we help build careers through collaborative teams that push boundaries and endless opportunities to work with some of the world's most recognized brands. Our 43,000 employees are changing the world for the better, too, generously giving back to communities and causes around the globe.
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.
With an inclusive culture, our employees – and the original thinking they bring to Kimberly-Clark – make us stronger. EOE disability/vet.
K-C requires that an employee have authorization to work in the country in which the role is based. In the event an applicant does not have current work authorization, K-C will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.
Global VISA and Relocation Specifications:
K-C will support in-country relocation for the chosen candidate for the role. The benefits provided will be per the terms of K-C's applicable mobility policies. The benefits/policy provided will be decided in K-C's sole discretion.