

Openkyber
Identity AI / ML Engineer
β - 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.
π - Country
United States
π± - Currency
Unknown
-
π° - Day rate
Unknown
-
ποΈ - Date
February 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
California
-
π§ - 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
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





