Data Scientist GenAI / RAG

Hybrid in Santa Clara, CA, US • Posted 23 hours ago • Updated 7 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Machine Learning Operations (ML Ops)
  • Data Visualization
  • Data Science

Summary

Job Title : Senior Data Scientist – GenAI / RAG
Location : Houston, TX ,Dallas TX, or Santa Clara CA ( Hybrid )
Job Type : Full-time

Job Description

Strong hands-on experience in Agentic AI and Multi-Agent Systems
Experience with LangGraph, LangChain, MCP (Model Context Protocol), tool calling, agent orchestration
Strong RAG implementation experience including Vector Databases, Hybrid Retrieval, Reranking, Knowledge Graphs Hands-on experience with AWS Bedrock and enterprise GenAI solutions
Strong Python and SQL skills
Solid Traditional Data Science / Machine Learning background:

  • Classification
  • Regression
  • Forecasting
  • Anomaly Detection
  • Feature Engineering
  • Model Evaluation

Experience with XGBoost, CatBoost, Random Forest, Deep Learning frameworks (PyTorch/TensorFlow)
Experience designing and deploying production AI/ML systems
Understanding of MLOps / LLMOps, model monitoring, evaluation, observability, and retraining pipelines
Ability to translate business problems into ML or Agentic AI solutions
Experience with LLM Evaluation, Hallucination Detection, Groundedness and Retrieval Quality metrics
Exposure to Databricks, Spark, Vector Databases, APIs, Cloud Platforms (AWS preferred)

Key Responsibilities

  • Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces
  • Work closely with client data science teams (ML/DL ecosystems)
  • Develop GenAI-based enterprise knowledge solutions
  • Collaborate directly with stakeholders and customers

Tech Environment

  • AWS ecosystem
  • Snowflake (data platform)

    Required Skills :

    Strong proficiency in programming languages such as Python or R.
    Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
    Solid understanding of statistical analysis techniques and data modeling.
    Proficiency in data visualization tools (e.g., Tableau, Power BI).
    Familiarity with big data technologies (e.g., Hadoop, Spark).
    Ability to work with databases and query large datasets using SQL.
    Strong problem-solving skills and the ability to think critically.
    Excellent communication and collaboration skills.

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: prutx001
  • Position Id: 9115199
  • Posted 23 hours ago
Contact the job poster
PK

Pavan Kalva

Recruiter @ Prudent Technologies and Consulting

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