Data Science - Machine Learning Engineer

Detalles de la oferta

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.
To do this, 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 teamWe'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 technologiesWe 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, NewsSearch and rankingRAG, Knowledge 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 systemsWhat 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 testsWhat will be a plus:Understanding the fintech sphere and trading topicsWork in high-load projects related to RecSys, Search, and AI assistants.
Deep understanding of approaches, typical problems, quality metrics, and A/B testingExperience in developing the architecture of ML systemsKnowledge of English and Russian languagesIt'll also be an advantage if you have experience in:Finance experience or knowledge of TradingKnowledge of TradingViewAdditional informationThis is a hybrid role based in our Málaga office, located in the heart of the city at the prestigious Muelle Uno port (center), offering you the opportunity to work in a vibrant culture.Our flexible working hours allow for a great work-life balance, and we provide comprehensive relocation packages for you and your family to ensure a smooth transition and a comfortable settling-in process.
Additionally, we offer private health insurance as part of our benefits package, and much more.
You can also enjoy all of our workplace perks (gym, snacks, etc.
)!TradingView is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
With 500 employees from 40 nationalities speaking nearly 20 languages, with 5 global offices where we foster inclusive and collaborative work environments.
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Salario Nominal: A convenir

Fuente: Talent_Dynamic-Ppc

Requisitos

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