NMK Global Inc.
NMK Global Inc.

AI Data Scientist | GEN AI and LLMs

San Jose, CA, US • Posted 23 hours ago • Updated 23 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • LangChain
  • LangGraph
  • RAG
  • Vector Databases
  • Python
  • SQL
  • AI
  • ML
  • Infrastructure

Summary

Job Title: AI Data Scientist – GenAI / LLM Engineer

Location: San Jose, CA
Experience Required: 8+ Years
Employment Type: Contract

We are looking for a highly experienced AI Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), NLP, Machine Learning, and scalable AI system design. The ideal candidate should have hands-on experience building end-to-end AI/ML solutions, deploying production-grade applications, and working with modern GenAI frameworks and vector databases.

Required Skills & Experience:

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Generative AI / LLM Technologies:

  • Strong Python programming expertise

  • Hands-on experience with:

    • LangChain

    • LangGraph

    • RAG (Retrieval-Augmented Generation)

    • RAGAS

    • LangSmith

    • DeepEval

  • Strong understanding of:

    • Semantic Search

    • Reranking techniques

    • Vector Databases

    • Prompt Engineering

    • LLM Tool Calling / Function Calling

  • Experience evaluating and optimizing LLM performance and AI pipelines

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">NLP (Natural Language Processing):

  • BERT

  • SBERT

  • Transformers

  • Word2Vec

  • GloVe

  • FastText

  • RNNs / LSTMs

  • DIET Classifier (RASA)

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Machine Learning:

  • XGBoost

  • Random Forest

  • Gradient Boosting Models (GBM)

  • Neural Networks

  • Logistic Regression

  • Time Series Models

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Engineering & Deployment:

  • Django

  • REST APIs

  • FastAPI

  • WebSockets

  • Microservices Architecture

  • Kubernetes

  • Helm

  • Git

  • AWS Services including:

    • DynamoDB

    • OpenSearch

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Additional Requirements:

  • Strong experience with Vector Databases

  • Experience building APIs and Microservices

  • Ability to design standalone scalable AI systems and architecture

  • Proven experience delivering end-to-end implementations in production environments

  • Strong communication and problem-solving skills

Preferred Candidate Profile:

  • 8+ years of overall industry experience

  • Strong background in AI/ML production systems

  • Experience working in enterprise-scale environments

  • Ability to explain architecture, workflows, and deployment strategies clearly during discussions/interviews

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90773860
  • Position Id: 2550-4981-1358
  • Posted 23 hours ago
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