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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William Grisaitis
Freelance Machine Learning Engineer
William is a data scientist with a diverse background and skill set, having worked on deep learning, time series forecasting, Bayesian modeling, and more. He has co-authored academic research applying deep learning to computational neuroscience and has worked in industry applying machine learning to financial markets and consumer finance. William graduated from Duke University where he studied physics, finance, and literature.
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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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Christophe Williams
Freelance Machine Learning Engineer
Christophe has led product development in three data-intensive startups and held technical product management and data science roles at Capital One, Amazon, and the 2012 Obama campaign. His expertise includes finance, marketing, and retail products, and he specializes in using data analysis to build and improve products. Christophe holds an MBA from Wharton Business School and a BA in mathematics from Williams College.
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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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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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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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Pedro Henrique Rocha Moy
Freelance Machine Learning Engineer
Pedro is a hybrid data scientist-engineer with more than six years of experience building data processing pipelines and machine learning models. His specialties include big data, natural language processing, reinforcement learning, algorithmic trading, time-series analysis/forecasting, and numerical optimization. He's able to provide fully-automated and/or hybrid solutions meeting business needs in accuracy, transparency, and interpretability.
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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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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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