Senior AI Data Scientist contract role Urgent need

Role Profile: Senior AI Data Scientist (Internal AI & Infrastructure) 

Location: San Jose, CA Onsite

Contract

Read Note / Must have

Looking for at least 12+ Resource

Local within States of CA will be prefrred Location: San Jose, CA Onsite

Must be technically fit mentioned below tech skills  — GenAI and Machine Learning , Nutanix Integration, frameworks using RAGAS and DeepEval 

Professional Summary 

Senior Data Scientist with over 12 years of experience specializing in production-grade GenAI and Machine Learning systems within complex enterprise environments. Expert at architecting LLM-powered assistants and predictive models that streamline internal operations, reduce technical debt, and drive measurable ROI. Proven capability in deploying high-performance AI solutions on Kubernetes and distributed cloud architectures to automate internal workflows and diagnostic processes.  

Core Responsibilities for Nutanix Internal AI 

Internal Product Innovation: Transform large-scale internal data (logs, tickets, telemetry) into production-ready GenAI solutions to support the Nutanix mission and enhance employee productivity. 
Infrastructure-Aware AI: Design and champion AI models that balance immediate internal feature requests against the long-term technical health of Nutanix’s production environments. 
Strategic AI Consulting: Partner with Nutanix stakeholders to identify high-impact AI opportunities, demonstrating how data science can optimize internal department OKRs. 
Advanced Analytics: Deliver production-ready models for internal resource forecasting, system health monitoring, and automated fault diagnosis. 
Rigorous Evaluation: Implement evaluation frameworks using RAGAS and DeepEval to ensure internal AI tools meet strict accuracy and latency standards. 
 

Technical Skills for Nutanix Integration 

GenAI Stack: RAG, Lang Graph, Langfuse, Semantic Search, Re-ranking, and Vector Databases (OpenSearch).  
ML & Statistics: Expert mastery of Regression, Clustering, and Neural Networks, with the ability to design controlled experiments and A/B tests. 
NLP Expertise: BERT, Transformers, and RASA (DIET Classifier) for building sophisticated internal conversational interfaces.  
DevOps & Infrastructure: Professional experience with Kubernetes, Helm, Microservices, and REST APIs to ensure AI models are seamlessly integrated into the Nutanix ecosystem.  
 

Qualifications 

Education: Bachelors or Masters in Data Science ,Computer science  
Seniority: 10+ years of end-to-end ML delivery in production  
Interview Ready: Prepared for deep-dive technical sessions, including live whiteboarding of AI architectures and statistical modeling.