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Identity AI​/ML Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Data Freelance Hub
Full Time, Contract position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Identity AI / ML Engineer
Location: California

This role is for an "Identity AI / ML Engineer" on a long‑term contract in the SFO Bay Area, CA (Hybrid). Requires 10-15 years of experience, strong Python and ML frameworks skills, and expertise in MLOps, cloud platforms, and generative AI.

United States

Posted:
February 14, 2026

Contract Type: W2 Contractor (Long‑term)

Location:

SFO Bay Area, CA (Hybrid)

Tags: #Databases #Consulting #PyTorch #GCP (Google Cloud Platform) #Scala #Tensor Flow #Data Engineering #ML (Machine Learning) #Azure #Python #Cloud #Monitoring #Data Quality #Deployment #AWS (Amazon Web Services) #AI (Artificial Intelligence)

Role Summary

Relanto

AI is looking for a hands‑on AI/ML Architect to design and scale production‑grade AI and ML solutions for enterprise clients. This role owns end‑to‑end AI/ML architecture and works closely with data engineering, product, and client stakeholders.

Key Responsibilities
  • Design and architect end‑to‑end AI/ML and GenAI solutions.
  • Define scalable ML platforms and MLOps frameworks (training, deployment, monitoring).
  • Collaborate with data engineers on pipelines, feature stores, and data quality.
  • Translate business problems into AI/ML system designs.
  • Lead architectural reviews and provide technical guidance to delivery teams.
Required Skills & Experience
  • 10+ years in software/data/ML engineering; 5+ years in AI/ML architecture.
  • Strong hands‑on experience with Python and ML frameworks (PyTorch, Tensor Flow, etc.).
  • Proven experience deploying ML models into production.
  • Solid understanding of MLOps and data engineering fundamentals.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Strong communication and stakeholder collaboration skills.
  • Generative AI, LLMs, RAG, vector databases.
  • Experience in client‑facing or consulting environments.

For applications and inquiries, contact:

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