Applied AI ML - Associate/VP

We’re looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team.
In this role, you’ll help build practical machine learning and generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale.
This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems.
Job Responsibilities:
Apply machine learning, deep learning, and generative AI techniques to business problems
Design, run, and evaluate ML experiments using current tools and frameworks
Work with large language models, AI agents, and related methods to enhance ML workflows
Write production-quality code and own solutions from proof of concept to deployment
Improve model accuracy, reliability, and performance by identifying optimization opportunities
Partner with product and engineering teams to build scalable and maintainable solutions
Contribute technical expertise to model design and platform implementation decisions
Share knowledge and help elevate the technical standard of our ML work
Required Qualifications, Capabilities, and Skills:
STEM degree or equivalent practical experience
Applied experience with machine learning and deep learning methods
Proficiency in Python and programming experience in Java, C/C++, or similar languages
Ability to take ownership of tasks and deliver results with limited supervision
Strong attention to detail and follow-through
Effective communication skills and ability to collaborate in a team environment
Experience working with engineers, product managers, and ML practitioners
Preferred Qualifications, Capabilities, and Skills:
Experience with large language models, including agents, planning, or reasoning techniques
Experience building and deploying ML models on cloud platforms
Familiarity with AWS tools such as SageMaker, EKS, or similar services