Hire remote machine learning engineers near Boston or in a similar time zone
Dan Napierski
Freelance Machine Learning Engineer
Dan is a software architect and technology professional focusing on applications of blockchain technologies. He has years of experience providing professional consulting services to clients ranging from startups to global corporations. He specializes in bringing rigorous testing and bulletproof code to tough engineering challenges. He has deep expertise in many aspects of artificial intelligence, blockchain, machine learning, and automation.
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Michael McKenna
Freelance Machine Learning Engineer
Michael is a data scientist and machine learning engineer. Most recently, he led CVS’s COVID-19 vaccine demand forecasting, liaising closely with the White House and the CDC as part of Operation Warp Speed. He spends his spare time working on AI ethics problems and is an advocate and mentor for queer AI developers. An experienced leader, Michael has overseen teams of data scientists on health, 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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Matthew de Marte
Freelance Machine Learning Engineer
Matthew is a data scientist who has worked primarily in professional baseball, an incredibly fast-paced and demanding industry. He has utilized R and SQL databases with strengths relying on machine learning and predictive modeling to provide better data-driven decisions. Matthew is a fantastic problem solver with a data science skill set that can communicate technical findings to non-technical audiences.
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Matthew Alhonte
Freelance Machine Learning Engineer
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
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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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Conor Sweeney
Freelance Machine Learning Engineer
Conor is an experienced iOS software engineer and doctoral candidate in computer science, focusing on the intersection of machine learning and software systems. Notable clients include NBC, Google, Amazon, CNBC, Bravo, and E!. He developed an app where users can schedule food pick-ups to local homeless shelters and soup kitchens, track the status of volunteers, and send real-time updates. What separates Conor from the average software engineer is his creative solutions to complex problems.
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Gijs Joost Brouwer
Freelance Machine Learning Engineer
Gijs is a data scientist, machine learning engineer, and innovation expert. In various roles, he has built solutions at the intersection of data science, emerging technologies, AI, computer vision, and NLP. His background is in computational neuroscience and psychology. In addition, Gijs is an experienced software developer who has closely collaborated with software engineers, data engineers, and big data production systems using tools like Hadoop, Spark, and AWS cloud computing services.
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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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Ryan Tang
Freelance Machine Learning Engineer
Ryan is an accomplished statistician with years of progressive experience in data science, specializing in machine learning, statistics, and big data analytics. He has an exceptional ability to solve complex technical problems using statistics and algorithms and demonstrates excellent initiative to perform duties independently. Ryan has vast experience in multiple industries. This interdisciplinarity allows him to be ingenious and innovative.
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Alan Reiner
Freelance Machine Learning Engineer
Alan is a statistician, data scientist, and deep learning practitioner with over a decade of data science experience, including computer vision for missile defense, real-time cybersecurity attack detection analytics, and borrower creditworthiness classification. Alan is motivated by challenging problems, is highly adaptable, and is especially good at picking up new projects and making an immediate impact.
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