Data Scientist

Overview

Remote
$60+
Contract - W2
Contract - 12 Month(s)
10% Travel
Able to Provide Sponsorship

Skills

Generative Artificial Intelligence (AI)
Artificial Intelligence
Autogen
Cloud Computing
Communication
Database
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Management
Microsoft Azure
PostgreSQL
Prototyping
Python
Vector Databases

Job Details

Title: Data Scientist Gen AI / LLM (Langchain, AutoGen, LangGraph)
Location: Pittsburgh, PA (Remote Allowed)
Rate: $60/hr

Job Description:

We are seeking an innovative Data Scientist with strong hands-on experience in Gen AI tools and Large Language Models (LLMs) such as Langchain, AutoGen, and LangGraph. The ideal candidate will lead full-stack AI solution delivery, integrate with vector databases, and work in a cloud-native (Azure/Azure OpenAI) environment.

This position is remote but aligned with teams based in Pittsburgh, PA.

Key Responsibilities:

  • Design and lead end-to-end Gen AI solutions using tools like Langchain, AutoGen, and LangGraph

  • Develop full-stack prototypes and scalable applications using Python

  • Integrate with Chroma DB, PostgreSQL, and Vector/Graph databases

  • Deploy solutions in Azure cloud leveraging Azure OpenAI services

  • Communicate AI/ML concepts clearly to non-technical stakeholders

  • Collaborate with cross-functional teams to define and execute AI strategies

Required Skills:

  • Proven experience with Gen AI & LLM frameworks (Langchain, AutoGen, LangGraph)

  • Strong proficiency in Python, Chroma DB, PostgreSQL, Vector DB, and Graph DB

  • Hands-on experience with Azure and Azure OpenAI services

  • Ability to manage solutioning and lead full-stack AI project delivery

  • Strong communication skills and experience translating technical work to business outcomes

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.

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