About us! Our open source charts and commercial libraries are used by tens of thousands of financial sites across the planet, including whales like: CME, Refinitiv, Investopedia, Crunchbase, Binance, Bitcoin.Com and many others.
We're also one of the world's biggest websites (#61 to be exact, according to Alexa Rankings), visited by 100s of millions of people every year.
So if you're interested in finance, chances are you'll have already seen us around the place.
Our mission is to help millions of people succeed in life, whatever that means for them, by providing the highest quality information in the smartest way so they can make the best-informed decisions possible.
We're looking for individuals to join a team where product quality means everything, where you'll be given the opportunity to develop your best work, and where the fruits of your labor will be seen by millions of people each and every day.
Join our Spanish team!
We've got people all over the world, but our new Spanish office is the heart of our tech operations.
So, if you're looking for a start-up, get stuck-in vibe, but with all the resources and firepower of a major scale-up, then look no further, this is the place for you!
Join us here and help shape the future of our tech operations!
There's never been a better time to join the Spain team as we continue to grow, offering extensive opportunities for professional development.
Our tech stack - Work with cutting-edge technologies: We are using the latest technologies, ensuring our team works on innovative and challenging projects: JavaScript, ReactJS, TypeScript with NodeJS, Python, and Golang on the backend.
What you will be doing: Creation and development of ML projectsRecSys - personalized content recommendations - Ideas, Scripts, News Search and ranking RAGKnowledge DB for AI assistantsTask statement: defining the target, metrics, and data searchDevelopment of the ML system and bringing it to productionMonitoring, support, and development of ML systems What you bring: 2 years of experience as a data scientistExperience in developing ML systems - from the idea, data search, EDA, production-ready code, monitoring and documentationKnowledge of ML algorithms and metrics for assessing the quality of the modelYou know these tools: Python, pandas, NumPy, sklearn, LightGBM, CatBoost, LightFM, PyTorch, TensorFlow, SQL, Git, Docker, AWS, PostgreSQLExtensive analytical skills in working with data and experience in conducting A/B tests What will be a plus: Understanding the fintech sphere and trading topicsWork in high-load projects related to RecSys, Search, and AI assistants
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