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This listing was closed on Jul 19, 2026.
Browse Open JobsData Scientist + ML Engineer (Gen AI)
Summary by AIEngineer.careers
Data Scientist + ML Engineer (Gen AI) is a AI Engineer role (full-time). with Mindlance. in CUPERTINO, US. Imported listing (source: careerbuilder.com). Apply on the employer's site (careerbuilder.com).
Imported listing (source: careerbuilder.com) · Apply on careerbuilder.com
CUPERTINO · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careerbuilder.com
We are seeking a skilled Data Scientist and ML Engineer to develop and deploy generative AI models including diffusion models and LLMs. You will design synthetic data pipelines, fine-tune models, and collaborate with cross-functional teams. The role requires 2+ years of experience with Python and PyTorch.
Responsibilities
- Design and implement LLM-driven synthetic data pipelines for high-quality data generation
- Develop, fine-tune, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs)
- Build and maintain scalable data pipelines for training, evaluation, and inference
- Conduct exploratory data analysis to identify opportunities for model improvement
- Collaborate with researchers, engineers, and data program managers to deliver ML solutions
- Enhance internal tools and automation workflows to accelerate experimentation
Requirements
- Bachelor's degree in Computer Science or related field from an accredited U.S. institution
- 2+ years of experience in Machine Learning or Software Engineering
- Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch
Mindlance
Union · US · 1349+ employees
Mindlance is a professional staffing and workforce solutions company providing managed services, IT recruitment, and talent management solutions. (Note: Specific company details for Mindlance were not comprehensively returned in search results beyond general industry knowledge.)
