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AI/ML Applied Data Scientist – Generative AI Software-Design and Development

SpringCube

Full-time - Senior Engineer

IT Cloud Computing, Software & SaaS

United States, San Francisco - California

Published 7 days ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global enterprise technology organization is seeking an AI/ML Applied Data Scientist to join its newly formed Foundation Model team. The company focuses on cloud transformation, AI innovation, and building enterprise-grade solutions that serve customers across multiple industries worldwide. The team drives the development of foundation models, AI agents, and agentic workflows to accelerate data-driven decision-making and digital transformation.

Summary
The AI/ML Applied Data Scientist will work on designing, fine-tuning, and deploying foundation models and AI agents that integrate into enterprise software solutions. This role combines advanced AI/ML technical skills with hands-on implementation and collaboration across global teams and early adopter customers.

Responsibilities

  • Oversee development, fine-tuning, and integration of foundation models into enterprise solutions to support cloud transformation
  • Design and implement multi-step, tool-using agents (single-agent and multi-agent) with planning, memory, reflection, and human-in-the-loop patterns
  • Build offline and online evaluation harnesses for task success, trajectory quality, tool-call accuracy, groundedness, and regression testing
  • Monitor production, instrument agents with tracing, session/span capture, and automated scoring to improve performance
  • Collaborate closely with cross-functional teams, research partners, and early-adopter customers

Qualifications

  • BS or MS in Computer Science, Machine Learning, Data Science, or related field
  • 3+ years of experience in data science, including at least 1 year hands-on with large language models and agents in production or near-production environments
  • Strong proficiency in Python and software engineering fundamentals (testing, version control, modularity, async)
  • Experience with deep learning frameworks such as PyTorch, including fine-tuning and PEFT methods (LoRA, QLoRA)
  • Knowledge of LLM application development, including prompting, structured outputs, function/tool calling, and context management
  • Familiarity with tools like LangGraph, Langfuse, MLFlow, or W&B

Nice to Have

  • Experience with continued pretraining, fine-tuning pipelines (SFT, DPO, RLHF), or inference optimization (vLLM, TensorRT-LLM, quantization)
  • Experience running human-in-the-loop annotation workflows

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist jobsite for Data, AI and ML engineers across the San Francisco Bay Area.

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