6 applied ml engineer jobs at 3 companies in Mesa, AZ
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Senior Machine Learning Engineer, Applied AI & Data
Scottsdale, Arizona, United States
HybridFull Time
GitKraken: Developer experience platform for software collaboration and productivity.
Senior-level, hands-on experience in applied machine learning/AI with a track record of shipping ML-powered product features; able to scope ambiguous problems, prototype quickly, integrate models into production, define metrics, and communicate with cross-functional partners.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
8+ YOE8+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, cloud (AWS/GCP), Kubernetes, and agentic AI tooling; product orientation and ownership.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, and cloud infrastructure skills; experience shipping AI/agentic systems and owning production reliability.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, cloud infrastructure expertise; experience with agentic AI, RAG, and reliability in regulated environments.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
4+ YOE4+ years software engineering experience; hands-on work with LLMs/AI features or applied ML; strong backend skills in Python, Go, or TypeScript; familiarity with APIs, cloud (AWS/GCP), Kubernetes, and modern development practices.