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Kimberly-Clark · 8 hours ago

AI/ML Development Engineer, RD&E

Roswell, GA

Full-time

Hybrid

Senior Level

$128K/yr - $158K/yr

5+ years exp

Kimberly-Clark is a global leader in consumer products, committed to creating Better Care for a Better World. They are seeking an AI/ML Development Engineer to develop and maintain AI and Generative AI capabilities that enhance innovation and speed to market within their Research & Development organization.

ManufacturingProduct DesignWholesale

No H1B

Responsibilities

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

Qualification

Machine Learning EngineeringData ScienceMLOpsLarge Language ModelsPythonDatabricksAzure CloudAPI DevelopmentStatistical ModelingSoftware Engineering PrinciplesProblem SolvingTeam CollaborationCommunication Skills

Required

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

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

Preferred

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