Senior Applied AI Researcher, Vice President at BlackRock Hungary Kft. – Budapest | Jobyssey

End-to-end AI solution ownership
Partnership with product managers and business stakeholders for problem translation
Independent planning and execution of research and experimentation
Design of AI solutions with system-level perspective
Design and prototyping of LLM-powered solutions including RAG-based systems and agent-like workflows
Definition of system behavior, scope, and constraints
Staying current with emerging AI techniques
Building and maintaining evaluation frameworks for AI system performance
Development of quantitative and qualitative metrics, benchmarks, and testing approaches
Analysis of existing solutions for performance enhancements
Collaboration with data scientists, engineers, and product teams
Communication of methods, assumptions, results, and limitations to diverse audiences
Support for engineering teams during implementation
Mentorship of junior data scientists
Contribution within Agile / SCRUM development environment
Application of good engineering hygiene in research and prototype code

6+ years of experience in data science, applied machine learning, or related role
Strong mathematical, statistical, and machine learning foundations
Proven ability to select, apply, and critically evaluate ML models and algorithms
Strong Python skills for analysis, modelling, experimentation, and prototyping
Strong SQL skills for data exploration, transformation, and analytical workflows
Excellent analytical thinking and problem-structuring abilities
Experience using Git for version control and collaborative development
Strong English communication skills, both written and verbal

Hands-on experience with LLMs including prompt/system design and real-world applications
Experience with RAG systems including retrieval strategies, chunking, evaluation, and performance tuning
Experience designing or contributing to agent-style AI systems and familiarity with agent evaluation, guardrails, and reliability testing
ML modeling experience beyond exploratory analysis
Understanding of software engineering best practices including testing strategies and CI/CD concepts
Experience working in Azure or similar cloud environments
Familiarity with Snowflake and optionally Snowflake AI as part of a modern data stack
Experience collaborating closely with domain experts
Financial domain exposure

Senior Applied AI Researcher, Vice President

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