Hire remote machine learning engineers near Atlanta or in a similar time zone
Keyvis Damptey
Freelance Machine Learning Engineer
Keyvis uses statistics and mathematics to discover valuable information by identifying, testing, and verifying relationships between all the factors influencing your business. This process unveils the nuances to the "lay of the land" when it comes to the costs, operations, or customer sentiment that your organization must work with. From there, you both can discover the impact of actions and design strategies around your organization's goals.
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Hameed Hasan
Freelance Machine Learning Engineer
Hamid is a data scientist with a Ph.D. in computer science/bioinformatics, with a minor in machine learning. He has a strong background in deep learning, algorithms, and programming. His past works have focused on designing predictive models both in industry and academia. His expertise lies in the healthcare domain.
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Jonathan Rhone
Freelance Machine Learning Engineer
Jonathan is a full-stack engineer who's as comfortable working on large-scale distributed systems as he is on client-facing single-page web apps. Jon also excels at working with big data, and has frequently worked on a petabyte scale.
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John Muchovej
Freelance Machine Learning Engineer
John is a recent computer and cognitive science graduate. He primarily works in deep learning, previously focusing on CV and NLP but now focuses on RL and uses ML to interrogate the brain. He's currently a researcher at MIT and Harvard and has been working as an AI engineer for two years—both on self-started projects as well as freelance. He also spends some of his weekends teaching to undergraduate and high school students.
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Michael McKenna
Freelance Machine Learning Engineer
Michael is a data scientist and engineer. He's passionate about machine learning and has worked on data science projects across numerous industries and applications. He spends his spare time working on data collection and machine learning for legal and housing non-for-profits. An experienced leader, he has overseen teams of data scientists on workforce and industrial projects.
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Yuxiang Bao
Freelance Machine Learning Engineer
Having studied advanced machine learning (ML) theory for the past three years, it’s safe to say Yuxiang knows ML quite well and he's delivered multiple projects using cutting-edge ML algorithms and tools. While at school, he also spent two years researching NLP. With a solid knowledge base in ML and NLP, hands-on experience, and exemplary communication skills—both written and verbal—Yuxiang will add value to your project.
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Matthias Denecke
Freelance Machine Learning Engineer
Matthias is an analytical, highly adaptable computer scientist with extensive experience in machine learning, artificial intelligence, and natural language processing. He is skilled in providing guidance to resolve complex technical challenges. As a technical lead, he has a track record of success architecting, developing, and deploying commercial solutions using artificial intelligence.
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Christophe Williams
Freelance Machine Learning Engineer
Christophe holds an MBA from Wharton and leads Cedar Labs, a data science consultancy. He has ten years of data science experience across Capital One, Amazon, the 2012 Obama campaign, and several startups. Christophe has expertise in finance, marketing, and retail. His specialties include data strategy and architecture, hiring data teams, time series and forecasting, regression and classification, machine learning, NLP, analytics, and ETL/pipelines.
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Karthik Narayan
Freelance Machine Learning Engineer
Karthik is a machine learning expert with over a decade of experience. His career has been punctuated by building large-scale ML algorithms for mission-critical systems including creating ML-based high-frequency trading systems that trade more than 5% of the US equities markets (Hudson River Trading) and creating novel deep-learning-based click-through-rate prediction systems (Google). Karthik also has a Ph.D. in artificial intelligence from UC Berkeley, where he was an NSF and NDSEG Fellow.
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Dwight Dale Cummings, M.Sc.
Freelance Machine Learning Engineer
After a successful career developing Oracle applications, Dwight returned to his first love (AI programming) and retooled himself as a Python expert and data scientist. He further honed his skills by developing PyOraEBS (an SQLAlchemy-based Python framework) and by serving as a Python data science expert in the field of algorithmic trading. Dwight is living his dream by doing what he loves and interfacing with diverse people and cultures.
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