Hire remote machine learning engineers near San Francisco or in a similar time zone
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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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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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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Moyi Dang
Freelance Machine Learning Engineer
Moyi is a senior data scientist with experience in state-of-the-art natural language processing. She has most recently worked on a startup that summarizes and analyzes the news. She previously worked at Uber Technologies as a senior data scientist for three years on the maps and fintech teams. Prior to that, she worked for a startup acquired by Comcast, where she automated video categorization with NLP.
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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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Katia Hayati
Freelance Machine Learning Engineer
Katia has worked for twelve years as an engineer, hands-on engineering manager, and consultant. She has worked at companies of all sizes, from tiny two-person startups to major enterprises including Groupon and Microsoft. She specializes in data processing, data-related algorithms, searching, and machine learning, but she has worked up and down the whole stack.
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Camille Girabawe
Freelance Machine Learning Engineer
Camille is a data-driven thinker and strategies with a Ph.D. in Physics from Brandeis University and professional experience in data science in the B2B and B2C world. He has data science, software development, and business skills to design, implement, and deploy on-premise or on-cloud AI solutions for business problems. Camille enjoys applying machine learning to different areas to solve real life challenges.
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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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