AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Santa Clara, CA, with a focus on AI workflows, system design using LLMs, and RAG solutions. Key skills include ML, Knowledge Graphs, and Scala. Technical leadership and collaboration experience are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Santa Clara, CA
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🧠 - Skills detailed
#Automation #Leadership #Knowledge Graph #ML (Machine Learning) #AI (Artificial Intelligence) #Scala
Role description
Job Title: AI/ML Engineer
Location: Santa Clara, CA (Onsite)
Job Description:
• AIA Studio Development: Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.
• AI System Design: Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.
• RAG + KG Solutions: Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close the deal.
• Agentic Workflows: Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).
• Cross-functional Collaboration: Work closely with Product, Business Operations to identify opportunities, design solutions, and deliver measurable impact.
• Scalability & Reliability: Build resilient, secure, and high-performance systems using industry best practices.
• Technical Leadership: Contribute to team success through mentorship, design discussions, and by setting high standards for code quality and innovation.
Job Title: AI/ML Engineer
Location: Santa Clara, CA (Onsite)
Job Description:
• AIA Studio Development: Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.
• AI System Design: Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.
• RAG + KG Solutions: Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close the deal.
• Agentic Workflows: Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).
• Cross-functional Collaboration: Work closely with Product, Business Operations to identify opportunities, design solutions, and deliver measurable impact.
• Scalability & Reliability: Build resilient, secure, and high-performance systems using industry best practices.
• Technical Leadership: Contribute to team success through mentorship, design discussions, and by setting high standards for code quality and innovation.
