Data Scientist

Overview

On Site
$100,000 - $160,000
Full Time

Skills

Artificial Intelligence
IBM
HTML
Data Compression
Good Clinical Practice
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Meta-data Management
Google Cloud Platform
Amazon Web Services

Job Details

Data Scientist / Gen AI Lead Consultant

Tempe, Arizona | Phoenix, Arizona | Denver, Colorado | Houston, Texas | Charlotte, North Carolina | Sunnyvale, California | Bridgewater, New Jersey | Austin, Texas | Raleigh, North Carolina | Richardson, Texas | New York, New York

Job Type : Full-time

Required Data Scientist Qualifications:

Bachelor s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 8 years of Information Technology experience

At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning

Strong proficiency in Python programming.

Experience of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI.

Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, Google Cloud Platform, Azure, IBM Watson

Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.

Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.

Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization

Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc.

Experience working with multimodal models integrating image, text, or audio into GenAI workflows.

Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).

Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops.

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.