Insight Global
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Contract, pay rate: "unknown", location: "unknown") requiring expertise in GenAI agent development, MCP integrations, and cloud platforms (preferably Azure). Key skills include SQL, Databricks, MLOps, and traditional ML techniques.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
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🗓️ - Date
January 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Databricks #Classification #Azure #AWS (Amazon Web Services) #AI (Artificial Intelligence) #ML (Machine Learning) #Snowflake #Observability #Cloud #Clustering #SQL (Structured Query Language) #Data Science
Role description
Senior Data Scientist / AI Engineer (Contract)
We’re looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack.
Key Skills
· Experience building and deploying GenAI agents (including open-source LLM agents) in production environments
· Strong knowledge of MCP, tool integrations, and agent orchestration
· Ability to design and maintain knowledge bases, vector search, and retrieval systems
· Hands-on experience with vibe coding for rapid GenAI prototyping
· Cloud expertise in Azure (preferred) or AWS
· Strong SQL skills and experience with Snowflake
· Experience working with Databricks for data and ML workflows
· Solid background in traditional ML (classification, clustering, etc.)
· Ability to build evals, guardrails, and safety layers for agents at scale
· Experience with MLOps and LLM Observability
What This Person Will Do
· Build and refine GenAI agents that interact with internal systems
· Develop MCP tools and secure integrations
· Create and maintain knowledge bases and retrieval pipelines
· Implement agent evaluation frameworks and guardrails
· Work across Azure, Snowflake, and Databricks to support production AI systems
Senior Data Scientist / AI Engineer (Contract)
We’re looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack.
Key Skills
· Experience building and deploying GenAI agents (including open-source LLM agents) in production environments
· Strong knowledge of MCP, tool integrations, and agent orchestration
· Ability to design and maintain knowledge bases, vector search, and retrieval systems
· Hands-on experience with vibe coding for rapid GenAI prototyping
· Cloud expertise in Azure (preferred) or AWS
· Strong SQL skills and experience with Snowflake
· Experience working with Databricks for data and ML workflows
· Solid background in traditional ML (classification, clustering, etc.)
· Ability to build evals, guardrails, and safety layers for agents at scale
· Experience with MLOps and LLM Observability
What This Person Will Do
· Build and refine GenAI agents that interact with internal systems
· Develop MCP tools and secure integrations
· Create and maintain knowledge bases and retrieval pipelines
· Implement agent evaluation frameworks and guardrails
· Work across Azure, Snowflake, and Databricks to support production AI systems
