Hire remote machine learning engineers near Philadelphia or in a similar time zone
Julio Oliveira
Freelance Machine Learning Engineer
Julio is a machine learning engineer, specializing in big data analytics. For the past three years, he has helped major companies, such as Fiat Chrysler Automobiles and a Brazilian credit bureau, improve their machine learning platforms. By combining big data and analytics, he has developed machine learning pipelines that run hundreds of machine learning models. In addition to his industry experience, Julio teaches university and other online courses in machine learning and data science.
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Daniel Steinberg
Freelance Machine Learning Engineer
Daniel has an extensive background in machine learning dating back to 2011. He works with clients to fully optimize their products by vastly improving accuracy and speed, and develop tools for better predicting and testing. He is currently a part-time Ph. D. student researching artificial intelligence.
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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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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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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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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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Brian Todd
Freelance Machine Learning Engineer
Brian is an experienced data scientist and machine learning engineer with a track record of researching and deploying a wide range of models for natural language processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
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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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Darron Fuller
Freelance Machine Learning Engineer
Darron has 15 years experience as a client-facing lead engineer of infrastructure and mission-critical advanced analytics software for notable clients in the renewable energy industry and U.S. Department of Defense. He has degrees in data analytics and computer science, covering machine learning and decision optimization.
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Maksim Tsvetovat
Freelance Machine Learning Engineer
For over 25 years, Max has worked on the cutting edge of computer science, machine learning, and modeling and simulation. He has delivered AI and ML tools to clients from hospitals to the federal government and hedge funds. Max looks beyond the hype and buzzwords with real-world experience and applies that experience to his projects. Max is both a developer and a leader—he enjoys working with a team and writing code. He's looking forward to bigger challenges and learning opportunities.
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Liang Kuang
Freelance Machine Learning Engineer
Liang has a Ph.D. with a strong background in numerical computation, machine learning, deep learning, neural network, big data mining, visualization, and multiple programming. He developed the largest financial regulatory database in the world and a Consolidated Audit Trail (CAT), handling up to 400 billion records per trade day. He brings deep technical insights in designing algorithms and end-to-end analytic platforms, including data lakes and predictive ML/AL models for system optimization.
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