Openkyber

Identity AI / ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
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.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
California
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🧠 - Skills detailed
#Databases #Consulting #PyTorch #GCP (Google Cloud Platform) #Scala #TensorFlow #Data Engineering #ML (Machine Learning) #Azure #Python #Cloud #Monitoring #Data Quality #Deployment #AWS (Amazon Web Services) #AI (Artificial Intelligence)
Role description
Role: AI/ML Architect Location: SFO Bay Area, CA (Hybrid) Experience: 10 to 15 Years Only Job Type: Contract/W2 Duration: Long Term Role Summary RelantoAI 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, TensorFlow, 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: hirings@openkyber.com