Identity AI/ML Engineer
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
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 SummaryRelanto
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.
- 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.
- 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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