

Jobs via Dice
Data Scientist/AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist/AI Engineer on a 1-year contract, remote. Requires 5+ years' experience, expertise in GenAI agent development, MCP integrations, Azure, Snowflake, Databricks, and strong SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Cloud #Data Science #AWS (Amazon Web Services) #Classification #Snowflake #Observability #Databricks #SQL (Structured Query Language) #ML (Machine Learning) #Azure #Clustering
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Bayforce, is seeking the following. Apply via Dice today!
• NO 3rd Parties or Sponsorship!
Role Title: Senior Data Scientist / AI Engineer
Duration: 1 year contract to hire
Preferred Location: Remote
Role Description:
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.
• 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
Requirements:
• 5+ years overall experience as a Data Scientist
• 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
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Bayforce, is seeking the following. Apply via Dice today!
• NO 3rd Parties or Sponsorship!
Role Title: Senior Data Scientist / AI Engineer
Duration: 1 year contract to hire
Preferred Location: Remote
Role Description:
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.
• 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
Requirements:
• 5+ years overall experience as a Data Scientist
• 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






