Description
We are looking for a Senior Applied AI Researcher to join our data science team working on advanced AI-driven solutions.
This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and technical ownership of AI capabilities critical to the product.
The role focuses on the research, prototyping, evaluation, and improvement of AI solutions, with hands-on work across LLM-based systems, including agent-style workflows and retrieval-augmented generation (RAG) where appropriate.
Key Responsibilities
- Own AI projects or functional modules from problem definition through prototype validation and production support.
- Partner with product managers and business stakeholders to translate real-world problems into clearly scoped data science and AI initiatives.
- Independently plan and execute research, experimentation, and iteration cycles in ambiguous problem spaces.
- Design AI solutions with a system-level perspective, ensuring scalability, maintainability, and long-term sustainability.
- Design and prototype LLM-powered solutions, including RAG-based systems and agent-like workflows.
- Contribute to defining system behavior, scope, and constraints, with attention to quality, robustness, and operational considerations.
- Stay current with emerging AI techniques and apply them pragmatically to solve business problems.
- Build and maintain evaluation frameworks to assess AI system performance.
- Develop quantitative and qualitative metrics, benchmarks, and testing approaches to validate prototypes and track improvements.
- Analyze existing solutions to identify gaps and drive continuous, data-driven performance enhancements.
- Work closely with data scientists, engineers, and product teams to ensure smooth transition from prototype to production.
- Clearly communicate methods, assumptions, results, and limitations to technical and non-technical audiences.
- Support engineering teams during implementation by clarifying evaluation criteria, edge cases, and expected system behavior.
- Serve as a technical authority and actively mentor junior data scientists, shaping best practices in experimentation, evaluation, and AI system design.
Required Qualifications
- 6+ years of experience in data science, applied machine learning, or a closely related role.
- Strong mathematical, statistical, and machine learning foundations.
- 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.
Preferred Qualifications
- 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.
- ML modeling experience beyond exploratory analysis.
- Understanding of software engineering best practices.
- Experience working in Azure or similar cloud environments.
- Familiarity with Snowflake.
What Success Looks Like in This Role
- You independently deliver high-quality AI prototypes and evaluation frameworks.
- You proactively define scope, success metrics, and experimentation plans.
- Your evaluation approaches enable reliable comparison, regression prevention, and continuous improvement of AI solutions.
- Engineering teams can confidently productionize your work.
- Over time, you raise the technical maturity of AI development and evaluation practices within the team.
The salary range for Hungary is 20100000 - 32400000 HUF.
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.