Hire remote machine learning engineers near Paris or in a similar time zone
Madriss Seksaoui
Madriss is a dedicated data scientist and machine learning engineer who has six years of professional experience analyzing data, building, deploying, and managing the lifecycle of machine learning models. He has worked in various industries, including email, digital marketing, insurance, and edtech. Currently focusing on healthcare, Madriss is eager to work among the best talents on the most challenging projects.
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Nizar Malkiya
Nizar is an engineer with 10+ years of experience in research, design, and implementation of data solutions. He is passionate about crafting quality software to transform large amounts of data into easily understood and useful insights. Nizar excels in all phases of this quest: data collection, visualization, and modeling; system architecture; algorithm design; and software deployment. Clients include healthcare, research, insurance, telecom, aerospace, advertising, consulting, and education.
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Ilya Prokin
Ilya is a data scientist, CTO, and AI tech entrepreneur with a PhD. He's an expert in applied data science, machine learning, AI, and LLM fine-tuning in the manufacturing, finance, and biotech industries. He has published scientific papers, scaled various MVPs to full-featured products, pitched startups, and built a strong AI community that spread to six cities. Ilya enjoys improving businesses with data, developing innovative ways to apply data and AI, and geeking out about optimization.
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Maximilian Hopf
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He is an expert in the finance and healthcare domains. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max also built and led the data team of Garner Health for one of the most successful US healthtech companies, scaling the team from one to 25 people and more than $100 million in annual revenue.
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Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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Mauricio Fadel Argerich
Mauricio is a machine learning (ML) scientist and software engineer with 10 years of experience in the tech industry. He's worked on projects related to ML methods and their application to IoT, published in AI and ML journals and conferences, and filed patents in the EU and US. Mauricio is skilled in various APIs, scikit-learn and pandas libraries, and many programming languages, such as Python, SQL, Objective-C, and Java, enabling him to easily implement prototypes and production-ready systems.
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Sunil Kumar
Sunil's expertise lies in developing novel statistical and mathematical models for quantitative and qualitative data assessment. His primary strengths are ML, AI, big data, systems biology, and high-performance computing. He has co-authored 5+ papers in sleep science and helped develop solutions for wireless data transfer, DB management, and monitoring software lifecycle processes. Sunil is adept in overseeing research to ensure rapid development and deployment of innovative product lines.
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Henrik Sergoyan
Henrik is a data scientist with over six years of professional experience. His primary expertise includes and is not limited to natural language processing, forecasting algorithms, gradient boosting algorithms for tabular data, data scraping, and machine learning operations (MLOps). As a senior data scientist, Henrik works with SQL and NoSQL databases, including MongoDB, and brings strong project management skills and excellence to his work.
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Timo Klock
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. He can work in different roles on the data lifecycle in industrial applications as a data engineer, data scientist, ML engineer, or data analyst. Timo is experienced with Python and SQL, and many modern data frameworks.
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