Senior Applied AI Researcher
- End-to-end AI solution ownership from problem definition through prototype validation and production support
- Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives
- Independent planning and execution of research, experimentation, and iteration cycles in ambiguous problem spaces
- Design of AI solutions with a system-level perspective ensuring scalability, maintainability, and sustainability
- Design and prototyping of LLM-powered solutions including RAG-based systems and agent-like workflows
- Contribution to defining system behavior, scope, and constraints with attention to quality, robustness, and operational considerations
- Building and maintaining evaluation frameworks to assess AI system performance
- Development of quantitative and qualitative metrics, benchmarks, and testing approaches to validate prototypes and track improvements
- Analysis of existing solutions to identify gaps and drive continuous performance enhancements
- Collaboration with data scientists, engineers, and product teams to ensure smooth transition from prototype to production
- Clear communication of methods, assumptions, results, and limitations to technical and non-technical audiences
- Support of engineering teams during implementation by clarifying evaluation criteria, edge cases, and expected system behavior
- Serving as a technical authority and mentoring junior data scientists
- Contribution within an Agile / SCRUM development environment
- Application of good engineering hygiene in research and prototype code to enable reproducibility and collaboration
- 6+ years of experience in data science, applied machine learning, or a closely related role
- Strong mathematical, statistical, and machine learning foundations including probability, statistics, optimization, and model evaluation
- Proven ability to select, apply, and critically evaluate ML models and algorithms for real-world problems
- 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 building 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 such as supervised learning, ranking, classification
- 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
- Salary range for Hungary: 20100000 - 32400000 HUF
- Annual discretionary bonus
- Healthcare benefits
- Leave benefits
- Retirement benefits
- Retirement investment and tools
- Access to education reimbursement
- Comprehensive resources to support physical health and emotional well-being
- Family support programs
- Flexible Time Off (FTO)
- Hybrid work model with at least 4 days in office per week and 1 day remote work