Principal AI Analyst

What Timken makes possible begins with you.

Those who came before us helped land a man on the moon, create the world's infrastructure, and introduce renewable energy alternatives. Now you can join the Timken team to write your own unique story and help drive what's next. A career at Timken means you can have an immediate impact doing Work That Matters to the world— improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries, and start helping our customers push the limits of what's possible in their world of motion. We are hiring a Principal AI/ML Analyst & Developer to design, build, and deploy scalable AI, data, and applications across the enterprise. You will work end-to-end (data ingestion → modeling → API/UI → production → monitoring) on various projects using Azure, Databricks, modern web frameworks, and Timken enterprise systems, including internal Gen AI capabilities.

Key Responsibilities:

Lead end-to-end AI/ML projects: review requests, understand/define problems with stakeholders, prepare data, develop and validate models, deploy to production, and monitor performance. Build scalable data engineering solutions on Azure / Databricks. Design, develop, and maintain production applications and APIs. Implement secure authentication and authorization consistent with Timken policy. Manage and govern internal Gen AI systems and associated MCP tooling. Ensure observability, transparency, and governance for models and data products. Mentor and train associates; collaborate with product owners; present technical results to business stakeholders.

Ideal Candidate:

AI/ML

• Model Development and Deployment Frontend
• Typescript, Next.js, React, Prisma Backend
• Python, Model Context Protocol / Tool Development Cloud
• Azure Data Platform, Blob Storage, Entra ID Repo / Containers
• Git, Azure DevOps, Docker Data Storage
• Postgres / SQL Server /

Databricks Preferred Skills:

ERP

• SAP (ECC, BAPI/OData/IDocs, S/4HANA) Observation
• Langfuse Management

•

Terraform, AKS, Kubernetes Required Qualifications:

Bachelor's in Computer Science, Data Science, Engineering, or a similar field. 7+ years building production software or AI/ML solutions; experience spanning both data and AI/ML preferred. Demonstrated hands-on experience with core technologies listed above. Strong communication skills, with the ability to translate complex technical concepts into simple organizational messaging that clearly articulates business impact.

Preferred Qualifications:

Master's degree or higher. All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status or any other basis protected by applicable law.