Infotree Global Solutions
ONLY LOCAL & W2 CANDIDATES :: Data Scientist (Machine Learning & Python) in Cupertino, CA (Hybrid Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Machine Learning & Python) in Cupertino, CA, hybrid, with a contract length of "TBD" and a pay rate of "$TBD." Requires a Bachelor’s degree, 2+ years of ML experience, and expertise in Python and LLMs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 31, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cupertino, CA
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🧠 - Skills detailed
#Data Pipeline #Debugging #AI (Artificial Intelligence) #Data Engineering #Computer Science #Python #Deep Learning #Data Science #Distributed Computing #Scala #PyTorch #ML (Machine Learning) #Documentation #Datasets
Role description
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.
Required 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.
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.
Required 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.
