Our partner assists clients in navigating the intricate landscape of financial institutions. By actively listening to customers, understanding their needs, and providing tailored investment recommendations, they ensure the clients make informed and suitable investment choices. They are looking for a dedicated professional candidate to help build a top-tier engineering team, demonstrating autonomy, end-to-end ownership, and flexibility while working closely with the tech and business teams.
Responsibilities:
Monitor and improve existing data pipelines, including troubleshooting web scraping scripts and extracting specific data points
Maintain an AI-powered translation application and collaborate with translation providers for content in 45 languages, improving translation quality
Enhance the quality and accuracy of LLM responses to user questions
Build, monitor, maintain, and improve our RAG data pipeline using LLM tools
Mentor junior and mid-level team members
Requirements:
5-7 years of experience in Data Science and Data Engineering
Skilled in building, maintaining, and deploying production-ready AI and data pipelines
Business-focused mindset, comfortable with large data sets, and able to draw independent conclusions
English proficiency
Takes full ownership of projects, driving planning, implementation, and progress updates independently
Motivated and ambitious, proactive with improvement ideas
Nice to have: Familiarity with tools/platforms like Google Cloud, BigQuery, Metabase, OpenAI API, Anthropic, LLMs
Benefits:
Competitive salary
Performance-based bonus system with yearly salary adjustments based on market benchmarks
Remote-first with optional office space. If you're in Budapest, you need to come to the office once a week, but full-time office work is also an option
Flexible working hours
Advanced feedback and transparency with monthly performance discussions
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