Hire remote Machine Learning engineers near Portland or in a similar time zone
Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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Henrik Sergoyan
Henrik is a data scientist with over eight years of experience specializing in natural language processing, focusing on GenAI and retrieval-augmented generation (RAG) solutions. He excels in building end-to-end data solutions, including data collection, processing, analytics, reporting, and deployment. Proficient in SQL and NoSQL databases, Henrik combines strong project management skills with innovative problem-solving to deliver exceptional results.
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Leopoldo Corona
Leopoldo is a Certified AWS Machine Learning (ML) specialist who has worked in all data-related positions. He started his career early as a data research analyst and then became a data scientist, developing risk and fraud assessing models. When Leopoldo began struggling with bringing those models to production, he transitioned to an ML position focusing more on data-centric engineering, thus becoming a data engineer. Currently, Leopoldo is the head of data engineering at Clara startup.
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Andrew Ho
Andrew has eight years of experience developing high-performance back-end systems from scratch. He has led the development of internal APIs for derivatives trading, genomics and proteomics machine learning pipelines for AI-driven biotech, and infrastructure to support rapid delivery of on-chain data to front-end user interfaces. Andrew is very flexible and has worked both independently and led projects with up to ten people.
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Dandan Zheng
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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Matthew Warkentin
Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.
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Robby Goetschalckx
Robby is a machine learning expert with 10+ years of experience in research and back-end software development for machine learning solutions. With master's degrees in computer science and artificial intelligence in addition to his Ph.D. in computer science, Robby is well equipped to provide solutions to a variety of issues in companies of all sizes.
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Andreas Freund
Andreas holds a PhD in applied math and has shown through his research and work experience a passion for using scientific computing to drive data-informed, impactful results. He wrote a thesis in the field of computational fluid dynamics and published two papers in high-impact journals as the first author. Most recently, Andreas has analyzed remote diagnostic data in the trucking industry to improve the performance of diesel engines.
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George McIntire
George is a results-driven data scientist who brings a diverse skill set and rich experience to the table. His expertise lies in data translation and a versatile toolkit, including Python, SQL, and machine learning. George excels at distilling complex findings into actionable and comprehensible insights, making data accessible and impactful for stakeholders.
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David Grayson
David is an experienced data and ML scientist with a PhD and demonstrated success at large and small companies. He published 12+ papers on computational neuroimaging, designed and built real-time ML apps for QuickBooks, improving product experience for over a million users. He led multiple initiatives at a biotech startup predicting neurological disease using novel computer vision, analytics, and ML methods. David is passionate about helping clients leverage data and AI to maximize their impact.
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Hiro Shioi
Hiro is a customer-facing data scientist. He excels at very high-level data science problems (ideation, road mapping, ROI estimation, solution and data architecting) to hands-on execution (data cleansing, feature engineering, modeling, operationalization). At General Electric, Hiro led a million-dollar digital transformation advisory project and developed 15 data science products across the healthcare, mining, telecommunications, manufacturing, transportation, power, and financial industries.
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