Akkodis

Data Scientist + ML Engineer (Gen AI) (Locals Only)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist + ML Engineer (Gen AI) in Cupertino, CA, on a hybrid contract for 2+ years. Pay is $70-$74.63/hour. Requires a Bachelor's in Computer Science, expertise in Python, and experience with ML frameworks and generative AI models.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
592
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πŸ—“οΈ - Date
November 14, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Yes
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πŸ“ - Location detailed
Cupertino, CA
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🧠 - Skills detailed
#Distributed Computing #Data Science #Computer Science #AI (Artificial Intelligence) #Debugging #Python #Security #Documentation #Data Engineering #Data Pipeline #PyTorch #ML (Machine Learning) #Deep Learning #Datasets #Scala
Role description
Akkodis is seeking a Data Scientist + ML Engineer (Gen AI) for a contract job in Cupertino, CA( Hybrid). Ideally Looking for someone with 2+ years of experience in Machine Learning or Software Engineering. Pay Range: $70/hour - $74.63/hour. The rate may be negotiable based on experience, education, geographic location, and other factors. Responsibilities: β€’ 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 β€” including diffusion models, large language models (LLMs), and other state-of-the-art architectures. β€’ You will collaborate closely with cross-functional partners inresearch, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. β€’ This position requires a balance of technical depth and creative problem-solving. β€’ 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. Qualifications: β€’ Bachelor’s degree in Computer Science or related fi eld from an accredited U.S. institution β€’ 2+ years of experience in Machine Learning or Software Engineering β€’ Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch β€’ Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques β€’ Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) β€’ Excellent analytical, problem-solving, and debugging skills β€’ Strong communication and documentation skills with the ability to explain complex concepts clearly β€’ Ability to work independently in a fast-paced, iterative development environment For other opportunities available at Akkodis go to www.akkodis.com If you have questions about the position, please contact Mohammed Irfan Murtuza at irfan.murtuza@akkodisgroup.com Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: Β· The California Fair Chance Act Β· Los Angeles City Fair Chance Ordinance Β· Los Angeles County Fair Chance Ordinance for Employers Β· San Francisco Fair Chance Ordinance