Hire remote machine learning engineers near Philadelphia or in a similar time zone
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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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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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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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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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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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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Roman Semeine
Freelance Machine Learning Engineer
Roman is a data scientist who has also worked as an engineer for a number of years. Due to his diverse background, he can blend together low-level data engineering with advanced analytics and cutting-edge artificial intelligence. Lately, he's been heavily involved in projects dealing with machine learning and artificial intelligence.
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Gabriel Bianconi
Freelance Machine Learning Engineer
Gabriel is a senior machine learning engineer. His experience includes predicting cancer therapeutics (NLP), reducing industrial accidents (computer vision), and optimizing corporate QA (predictive analytics). He holds BSc and MSc degrees in computer science from Stanford, where he conducted award-winning AI research, and lectures at some of the largest conferences in the world, e.g., AWS re:Invent, the annual conference by Amazon.
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Azarias Reda, PhD
Freelance Machine Learning Engineer
With a PhD in Computer Science from the University of Michigan, Azarias has worked at large tech companies like LinkedIn and Microsoft, and has led two startups as CTO. His technical expertise is web development and machine learning in Python. He has built large-scale web applications (primarily with Django), worked on many data science projects, and managed teams of engineers. His favorite projects combine web development with data engineering.
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