Hire remote AI engineers near Berlin or in a similar time zone
Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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Eduard Feicho
Eduard is a computer scientist from Germany with a passion for computer vision. He has extensive experience in the automotive sector as an ex-BMW, Hella, and Volkswagen self-driving car engineer. In London, UK, Eduard has developed and kickstarted Zappar's ZapBox: Mixed Reality for $30 project.
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Daniel Ruiz
Daniel is a data scientist who enjoys leveraging machine learning to guide decisions and make companies more efficient. Holding an MSc in data science and business analytics and a BSc in economics with a heavy load of statistics and econometrics, he is always eager to learn and be challenged. Over the years, Daniel has accrued experience in different sectors, like finance, healthcare, and education, and over multiple geographies, including North America, South America, and Europe.
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Karol Kulasiński
Karol is a highly experienced senior data scientist with a strong focus on NLP and wide AI applications. He has a unique academic background in physics and large-scale models, in addition to relevant experience in the customer-facing data science industry. He enjoys working with data and leading and implementing R&D projects. With his PhD in physics and the recent MBA degree, Karol combines easy technology and business.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Leonardo Schettini
Leonardo is a skilled data scientist and software engineer specializing in natural language processing. He has led projects for startups and corporates with varying team sizes. His projects are often written in Python and deployed on Kubernetes and Docker environments. Leonardo is calm under pressure and learns and applies new skills quickly.
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Michał Bieroński
Michał has almost nine years of professional experience in data science, machine learning, and software development. He has a computer science background and can fit in data scientist and machine learning engineer roles. Michal has tackled multiple problems in conversational AI, NLP, computer vision, time series forecasting, social media analysis, learning from graph-structured data, supply chain analysis, data visualization, and production deployment.
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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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Ivan Bestvina
With over seven years of data science and over nine years of coding experience, Ivan has developed a wide range of data and AI products for startups and large companies. He has a proven record of managing development and data science teams and enjoys building products from the ground up. He specializes in large language models, predictive modeling, network science, and anomaly detection and has excellent communication skills and attention to detail.
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Charles Camp
Charles is a senior AI developer with nine years of experience deploying machine learning models, particularly LLM applications over the last two years. He has experience working with large corporations, startups, and laboratories. He is also an AWS Certified Solution Architect and can deploy models creating APIs or containerized applications.
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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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