Hire remote machine learning engineers near San Francisco or in a similar time zone
Ryan Zotti
Freelance Machine Learning Engineer
A data scientist and data engineer, Ryan can take projects from concept to deployment. He is a machine learning expert with a knack for impactful data visualizations. Ryan has collaborated with innovators in diverse fields, presented at tech conferences, and co-authored groundbreaking research papers in respected journals such as the Lancet. He is also the author of a popular autonomous vehicle project on GitHub.
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Nigel Chang
Freelance Machine Learning Engineer
Nigel is a senior software and data engineer on Cloud, Linux, AWS, GCP, Snowflake, Hadoop, and almost all computer and database platforms. He's led and contributed to eCommerce and self-driving startups as well as the world's largest brokerage, retail, semiconductor, communication, network, and storage enterprises on the data analytics, ETL data pipeline, transaction processing, self-driving, and data science teams.
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Jack Kwok
Freelance Machine Learning Engineer
Jack has over a dozen years of experience developing complex software systems. He is experienced in applying deep learning techniques to solve Computer Vision problems such as object detection, multi-object tracking, and ND semantic segmentation, to name a few. Jack has worked on state-of-the-art Computer Vision models to solve autonomous driving problems. He is also fluent in traditional ML techniques and has an expert rating at Kaggle.
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Shane Keller
Freelance Machine Learning Engineer
Shane is a machine learning engineer with skills in data science, data engineering, and cloud automation. He has a track record of developing big data applications and experience with all aspects of building production-grade machine learning systems, including big data collection, model development, model deployment, and infrastructure.
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David Grayson
Freelance Machine Learning Engineer
David is an experienced data and ML scientist with a PhD and demonstrated success at large and small companies. He published 12+ papers on computational neuroimaging, designed and built real-time ML apps for QuickBooks, improving product experience for over a million users. He led multiple initiatives at a biotech startup predicting neurological disease using novel computer vision, analytics, and ML methods. David is passionate about helping clients leverage data and AI to maximize their impact.
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Jey Kottalam
Freelance Machine Learning Engineer
Jey is a computer scientist specializing in high-performance system software, machine learning, mathematical optimization, and related areas. He has created predictive tools, libraries for conducting massive data analysis, contributed to the development of frameworks, and worked as a research engineer at the University of California, Berkeley. Jey is an accomplished software engineer proficient across a multitude of back-end technologies.
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Russell Horton
Freelance Machine Learning Engineer
Russell builds data-driven products and data-driven teams. He has more than 15 years of experience inventing, rapidly prototyping, and deploying products driven by machine learning and natural language processing. Russell loves consulting on data science projects in the early stages.
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Andrew Nisbet
Freelance Machine Learning Engineer
Andrew is a developer with four years of experience developing production machine learning pipelines and efficiently communicating results. He also has an MSc in mathematics with a thesis in deep learning. Andrew is very knowledgable about his field and is quick to gather information and communicate to deliver the product on time and within budget.
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Wanlin Pang
Freelance Machine Learning Engineer
Wanlin is a research scientist from GMD in Germany, NRC of Canada, and NASA Ames with over 30 published research papers. As a software engineer, he has 10+ years’ experience developing complex artificial intelligence (AI), machine learning (ML), and data science (DS) applications. He collaborates with clients to solve real-world problems for the benefit of real people.
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Matthew Woods
Freelance Machine Learning Engineer
For the past 12 years, Matthew has been creating applied machine learning and data-driven engineering projects in multiple industrial sectors including biotechnology, cybersecurity, and automotive. He is passionate about developing core technologies for diagnostic, adaptive, predictive, and personalized applications.
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Neal Cheng
Freelance Machine Learning Engineer
Neal has a professional track record of success over the past decade working with a variety of clients. For example, he's improved monthly item sales for 10% to 40% by implementing a machine learning model to predict customer demand. He's looking forward to helping more clients achieve their goals through the use of data science and technology.
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