Data Scientist (NLP Deep Learning Engineer)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (NLP Deep Learning Engineer): Building AI-driven features from scratch, like personal assistants, chatbots, and copilots with an accent on deep learning and LLM integration. Focus on developing scalable, data-driven AI solutions that have a tangible impact on millions of customers worldwide.
Location: Must be based in Poland, Portugal, Romania, Spain, or the UAE (Hybrid or Remote options available).
Salary: PLN 20,300 – PLN 45,800 gross monthly (for Poland/Krakow).
Company
is a global financial super app on a mission to provide more visibility, control, and freedom to over 70 million customers worldwide.
What you will do
- Build AI-driven features from scratch, including personal assistants, chatbots, and copilots.
- Develop user-focused and backend features using deep learning techniques.
- Deliver impactful, scalable, and data-driven AI solutions.
- Collaborate cross-functionally with Product, Engineering, and Data teams to solve complex deep learning challenges.
- Integrate cutting-edge AI technologies to drive innovation across the platform.
Requirements
- Must be based in Poland, Portugal, Romania, Spain, or the UAE.
- Experience in deep learning within the natural language processing area and large language models.
- Bachelor's degree in a STEM major (mathematics, computer science, engineering).
- Excellent knowledge of data science (Python, SQL) and production tools.
- Deep understanding of probability and statistics fundamentals.
- Ability to diagnose problems and productionise research effectively.
Nice to have
- Master's or PhD in a quantitative discipline.
- Experience with additional programming languages such as Java, Scala, or C++.
- Experience at a large tech company worth over $15B.
- Olympic medal competitions in physics, maths, economics, or programming.
Culture & Benefits
- Work in a fast-growing, multicultural environment with over 13,000 employees.
- Certified Great Place to Work™ with a focus on employee experience.
- Inclusive workplace with a dedicated Diversity & Inclusion Framework.
- Opportunities to build transformative products for a global customer base.
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