Hire remote machine learning engineers near Toronto or in a similar time zone
Alex Wang
Freelance Machine Learning Engineer
Alex is a developer with 6+ years of experience in Python, JavaScript, SQL, and R. She enjoys working in both startup and corporate environments and has worked on all stages of the machine learning project lifecycle (research, data processing, model development, testing, and deployment). Passionate about learning new things, Alex has been building web applications through side projects and is looking for projects that allow her to focus on back-end development and API design.
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Joseph Miano
Freelance Machine Learning Engineer
Joseph is a data scientist with 3+ years of experience in computer vision, NLP, and tabular datasets. He's worked on analytics for large-scale medication adherence outreach programs, multi-task neural networks for brain microscopy image segmentation, and NLP models to detect COVID-19 outbreaks from news articles. He's also familiar with model explainability for credit risk assessment and fraud detection models. Joseph holds an MS in Computer Science with a specialization in machine learning.
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Saikat Banerjee
Freelance Machine Learning Engineer
Saikat is a postdoctoral scientist at the University of Chicago with a PhD in computational biophysics and a master's degree in chemistry. He is an expert in biostatistics, statistical genetics, Bayesian methods, and machine learning. As a graphic design and web development freelancer, Saikat co-founded a marketing management company. He enjoys solving problems, creating value, and learning new expert-level skills.
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Ryan Tang
Freelance Machine Learning Engineer
Ryan is an applied scientist empowering businesses to unlock the full potential of data in solving intricate, complex business problems. For the past 8 years, he's been dedicated to building pragmatic, data-driven solutions that blend scientific rigor with practical business insight. With experience spanning technology, real estate, and insurance industries, he's played a pivotal role in driving significant revenue growth, developing cutting-edge products, and optimizing business functions.
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Charles Cook, Ph.D.
Freelance Machine Learning Engineer
Charles has a Ph.D. in aerospace engineering and spent three years developing custom data processing and analysis programs for NASA. He specializes in scalable, enterprise-level application development and engineering solutions for exceptionally high throughputs. He is also the founder and owner of GreatVocab.com, for which he developed the core system using novel concepts in data analysis and control theory.
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Pedro Henrique Rocha Moy
Freelance Machine Learning Engineer
Pedro is a business-oriented seasoned data scientist and data engineer with experience building and deploying production distributed data pipelines and machine learning models at scale, covering the entirety of the data lifecycle from design, construction, optimization, deployment, and monitoring of data architectures and machine learning models. Pedro's focus is to deliver solutions that are robust to changes in environment and data and flexible to address changes in business requirements.
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Dandan Zheng
Freelance Machine Learning Engineer
Dandan is a senior data analyst and data scientist with 5+ years of professional experience and an extensive background in predictive models, AB testing, dashboard, and end-to-end analytics projects. She has worked in the technology, live streaming, social media platform, and oil and gas energy industries, constantly collaborating with cross-functional teams. Besides work, Dandan enjoys traveling and is a big-time computer gamer.
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Martin Elias Costa
Freelance Machine Learning Engineer
Martin is an experienced data scientist with vast knowledge of machine learning and artificial intelligence. After completing his Ph.D. in physics, he has worked on a wide range of projects from both the private and public sectors. He has extracted meaningful insights throughout the years and created products leveraging data sources in the most varied formats, including images, geospatial data, structured databases, time series, and text.
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Diego Kiedanski
Freelance Machine Learning Engineer
Diego is a Computer Engineer specializing in internet measurements and data analytics for internet traffic patterns. He has worked as a machine learning consultant on projects ranging from price optimization for insurance companies to remote sensing and computer vision to detect schools in remote areas for UNICEF. Diego has worked on three continents, from Yale University (USA) to national train companies (Luxembourg) and South America.
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Suhail Singh Bains
Freelance Machine Learning Engineer
Suhail is a talented MuleSoft professional passionate about updating, refreshing, and modernizing legacy architecture. He developed a safety app that sends information to the local police with the touch of a button, providing a link to the IMEI number for tracking and a timestamp of the location. Suhail has contributed to MuleSoft documents and communities, giving countless presentations and talks on Azure, GitHub, and MuleSoft, inspiring others to work with MuleSoft and Salesforce technologies.
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Suresh Kasipandy
Freelance Machine Learning Engineer
Part data scientist and part cloud solutions architect, Suresh excels at taking business problems and setting up end-to-end cloud data systems to solve them. Ranging from streaming data pipelines to data lakes to deep learning systems, Suresh leverages the latest tech and cutting-edge approaches to build robust and fault-tolerant systems that help you leverage business value from your data.
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