Data Scientist + ML Engineer (Gen AI)

Job Description Data Scientist + ML Engineer (Gen AI) Company: Pride Global Location: Cupertino, CA (On-site, Remote) Type: Contract Benefits: Medical, Dental, Vision, Life, Retirement Posted: 11 hours ago Job Description Data Scientist + ML Engineer (Gen AI) Location: Cupertino, CA (Remote, but needs to be onsite occasionally) Duration: 12 months contract with possible extension Rate: $70-$74.00/hr on w2 , DOE We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI) to join our client's 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 work flows 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 work flows 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