Data Scientist

Hybrid in Cupertino, CA, US • Posted 1 day ago • Updated 7 hours ago
Full Time
No Travel Required
Hybrid
$120,000 - $130,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Orchestration
  • Problem Solving
  • Software Design
  • Data Science
  • Prompt Engineering
  • API
  • SQL
  • Workflow
  • Continuous Delivery
  • Python
  • Collaborate

Summary

Key Responsibilities

  • Collaborate with business stakeholders to understand requirements and transform them into practical AI-driven solutions.
  • Design, develop, and deploy production-grade AI and machine learning applications.
  • Build and enhance AI platforms leveraging Large Language Models (LLMs) such as ChatGPT, Claude, and similar technologies.
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems, agent-based workflows, and multi-LLM architectures.
  • Integrate and extend existing AI platforms and frameworks to accelerate solution delivery.
  • Design and implement backend services, APIs, and data pipelines to support AI-powered applications.
  • Ensure scalability, reliability, and performance of deployed AI solutions through best engineering practices.
  • Participate in CI/CD processes and production deployment of AI systems.
  • Work cross-functionally with engineering, product, and business teams to drive AI adoption across enterprise workflows.

Required Qualifications

  • 10+ years of professional experience with a combination of Data Science and Backend Engineering expertise.
  • Strong programming skills in Python and advanced SQL (required).
  • Hands-on experience building and deploying AI platform-based solutions, including Model Context Platforms (MCPs) or similar enterprise AI frameworks.
  • Practical experience working with Large Language Models (LLMs), including prompt engineering, API integrations, and AI workflow orchestration.
  • Experience designing and implementing RAG architectures, agent-based systems, and multi-LLM solutions.
  • Proven experience deploying and maintaining production AI systems, APIs, pipelines, and CI/CD workflows.
  • Strong problem-solving abilities with an engineering-first mindset focused on delivering business value.
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.
  • Dice Id: 91099677
  • Position Id: 9001189
  • Posted 1 day ago
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