Data Scientist ML Engineer (Gen AI)
Company: TalentBurst, Inc.
Location: Cupertino
Posted on: February 19, 2026
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Job Description:
Job Description Job Description Position: Data Scientist ML
Engineer (Gen AI) Location: Cupertino CA - hybrid work schedule
Interview Mode: Video Duration: 12 months Pay - $74.62/hr on W2
Description: We are looking for a highly skilled Data Scientist ML
Engineer (Generative AI) to join our team. In this role, you will
be responsible for developing, fine-tuning, and applying advanced
generative AI models — including diffusion models, large language
models (LLMs), and other state-of-the-art architectures. You will
collaborate closely with cross-functional partners in research,
data engineering, and operations to deliver high-quality machine
learning solutions and scalable datasets. This position requires a
balance of technical depth and creative problem-solving. You should
be comfortable working with large, complex datasets and possess a
strong grasp of modern ML frameworks, distributed computing
environments, and end-to-end data pipelines. Responsibilities:
Design and Implement LLM-Driven Synthetic Data Pipelines: Design
and build workflows using LLMs and Gen AI techniques to create
high-volume, high-quality synthetic data for model training and
testing. Design, implement, and deploy machine learning models with
a focus on generative AI (diffusion models, LLMs, and related
architectures) Fine-tune, evaluate, and optimize large language
models for specific downstream tasks and data needs Develop and
maintain scalable data pipelines supporting training, evaluation,
and inference workflows Conduct exploratory data analysis to
surface insights and identify opportunities for model or data
improvement Partner cross-functionally with researchers, engineers,
and data program managers to define requirements and deliver
high-impact ML solutions Build and enhance internal tools,
libraries, and automation workflows to accelerate experimentation
and iteration Required experience and skills: 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 Strong foundation in
machine learning algorithms, data preprocessing, and evaluation
techniques Demonstrated experience working with diffusion models,
stable diffusion, or large language models (LLMs) Excellent
analytical, problem-solving, and debugging skills Strong
communication and documentation skills with the ability to explain
complex concepts clearly Ability to work independently in a
fast-paced, iterative development environment TB_EN ZR Company
Description Founded in 2002 by three former Monster.com executives;
TalentBurst is an award-winning full-service Staffing Firm working
directly with Fortune 500 companies in the US and Canada. We
specialize in Contract and Contract to Permanent roles across many
industries and have direct/contractual relationships with all our
clients. Please visit our website www.talentburst.com or come meet
us at our offices in Natick, MA, Miami, FL, Christiansburg, VA,
Vineland, NJ, Houston, TX & downtown San Francisco, CA Company
Description Founded in 2002 by three former Monster.com executives;
TalentBurst is an award-winning full-service Staffing Firm working
directly with Fortune 500 companies in the US and Canada. We
specialize in Contract and Contract to Permanent roles across many
industries and have direct/contractual relationships with all our
clients. Please visit our website www.talentburst.com or come meet
us at our offices in Natick, MA, Miami, FL, Christiansburg, VA,
Vineland, NJ, Houston, TX & downtown San Francisco, CA
Keywords: TalentBurst, Inc., Elk Grove , Data Scientist ML Engineer (Gen AI), IT / Software / Systems , Cupertino, California
