Hire remote machine learning engineers near Toronto or in a similar time zone
Diogo Dutra
Freelance Machine Learning Engineer
Diogo is a machine learning engineer with a Master of Science degree in aeronautics and expertise in the whole pipeline from data visualization to model deployment. His 14+ years of international experience in research and development for defense, public safety, and aerospace industries allow him to combine new methodologies like deep learning and computer vision with traditional ones (e.g., physics, simulation, sensor fusion, Kalman filter, Fourier transform, digital signal processing).
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Metti Paak
Freelance Machine Learning Engineer
Metti is a data scientist and machine learning/deep learning expert who has extensive experience in software development and mathematical/statistical modeling. He has worked in the aerospace, manufacturing, and healthcare industries developing custom, data-driven predictive software tools. He is proficient in translating business goals into data products and architecting the entire pipeline to the point of delivery. His work has led to multiple patents, publications, and successful fundraising.
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Adam Ivansky
Freelance Machine Learning Engineer
Adam has six years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and non-technical specialists.
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Bernardt Duvenhage
Freelance Machine Learning Engineer
Bernardt is passionate about developing technology that fundamentally improves lives and broadens our knowledge. He has lead teams and developed software for computer vision, natural language understanding, modeling and simulation, and computer graphics projects. Bernardt has experience programming in C++ and Python, using frameworks such as scikit-learn and PyTorch for machine learning and deep learning, transformers, TorchVision, CUDA, OpenGL, Open Scene Graph, OpenCV, and NLTK.
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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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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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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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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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