Cloud Hybrid Technologies, LLC
Overview
Role: AI Architect Location: Pleasonton, CA Onsite Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning 7+ years of experience in AI / ML, with 3+ years in generative AI (LLMs, diffusion models, etc.). Proven experience designing and deploying large-scale AI systems. Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms. Hands-on experience with AI / ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc. Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. Familiarity with responsible AI frameworks and privacy-preserving techniques. Equal Opportunity
Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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Role: AI Architect Location: Pleasonton, CA Onsite Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning 7+ years of experience in AI / ML, with 3+ years in generative AI (LLMs, diffusion models, etc.). Proven experience designing and deploying large-scale AI systems. Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms. Hands-on experience with AI / ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc. Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. Familiarity with responsible AI frameworks and privacy-preserving techniques. Equal Opportunity
Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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