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# AI Data Scientist - GenAI / LLM Engineer

- **Company:** Nmk Global Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Django Web Framework, Amazon DynamoDB, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, Search Technologies, WebSocket, Retrieval-Augmented Generation, Large Language Models, Random Forest, Prompt Engineering, Generative AI, Git, Fastapi, Kubernetes, Deployment Automation, Xgboost, Machine Learning Operations, Api Design, Restful APIs, Microservices
- **Published:** June 4, 2026
- **Apply:** https://www.dice.com/job-detail/e2c884ad-f100-4666-9047-e9ebcf6a4f7c

## About the Role

* 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, * 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

## Description

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., < 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


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