Data Scientist with Gen AI

Hybrid in Atlanta, GA, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
$60 - $65/hr
Fitment

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Job Details

Skills

  • Gen AI
  • Data Scientist
  • Azure
  • Python
  • AI
  • Langchain
  • RAG

Summary

Hope you are doing well,
 
Gen AI Data Scientist
Atlanta GA Local
Contract 1-2 yrs
 
Visa : H1b, EAD
 
Required Skill
  • Core: Data Science, Machine Learning, Deep Learning, Generative AI
  • Programming: Python, SQL
  • GenAI: LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases, Fine-tuning
  • Frameworks: LangChain/LangGraph, PyTorch/TensorFlow, Scikit-learn
  • NLP: NLP, Transformers, BERT/GPT-based models
  • Cloud: AWS/Azure/Google Cloud Platform
  • Data: Spark, Databricks, Snowflake preferred
  • MLOps: MLflow, Docker, Kubernetes, CI/CD
  • Preferred: Palantir Foundry/AIP if this is the same type of requirement as a recent Atlanta posting, where Palantir was listed as mandatory
 
 
Job Description
We are seeking an experienced Gen AI Data Scientist with strong expertise in Generative AI, Machine Learning, NLP, LLMs, and Data Science. The ideal candidate will design, develop, and deploy AI/ML solutions using modern GenAI technologies and work closely with business and technical teams.
Key Responsibilities
  • Develop and deploy Generative AI and Machine Learning models for business applications.
  • Build LLM-based applications, including RAG (Retrieval-Augmented Generation) solutions.
  • Develop prompt engineering strategies and evaluate LLM responses.
  • Work with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Build AI pipelines using Python, SQL, PyTorch/TensorFlow, and Scikit-learn.
  • Implement vector databases, embeddings, semantic search, and knowledge retrieval.
  • Use frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Perform data preprocessing, feature engineering, model training, validation, and optimization.
  • Deploy models using Docker, Kubernetes, and cloud platforms.
  • Implement MLOps practices using MLflow and CI/CD pipelines.
  • Collaborate with Data Engineers, ML Engineers, Software Engineers, and business stakeholders.
  • Monitor model performance, accuracy, scalability, and responsible AI practices.
Required Skills
  • 12+ years of experience in Data Science / Machine Learning
  • Strong Python and SQL
  • Hands-on Generative AI / LLM experience
  • Experience with RAG, embeddings, vector databases, and prompt engineering
  • Strong NLP and Deep Learning knowledge
  • Experience with PyTorch or TensorFlow
  • Experience with LangChain/LangGraph/LlamaIndex
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with MLflow, Docker, Kubernetes, and CI/CD
  • Strong communication and problem-solving skills
  • Must be local to Atlanta, GA or able to work onsite/hybrid
Nice to Have
  • Experience with Databricks, Snowflake, Apache Spark
  • Experience with Fine-tuning / PEFT / LoRA
  • Experience with Agentic AI and AI Agents
  • Experience with MCP (Model Context Protocol)
  • Experience with Computer Vision
  • Experience in enterprise production GenAI implementations.
 
 
Regards
Ravi Sharma
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: 91163703
  • Position Id: 9053963
  • Posted 3 hours ago
Contact the job poster
Ravi Sharma

Ravi Sharma

Recruiter @ Altitude Technology Solutions Inc
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