3 days ago
Budapest, HungarySenior
Responsibilities
- Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
- Design, evaluate, and optimize RAG pipelines, including retrieval strategy, chunking, indexing, and monitoring.
- Build scalable LLM services, agentic workflows, and traditional ML systems.
- Define trade-offs between LLMs and traditional ML, fine-tuning and RAG, and hosted and self-managed models.
- Optimize distributed GenAI and ML workloads on Databricks, including Spark performance.
- Implement evaluation frameworks for quality, hallucination, and performance.
- Productionize systems with CI/CD, monitoring, rollback, and versioning.
- Design end-to-end AI solutions for client problems and lead technical decisions in client engagements.
- Participate in pre-sales architecture discussions, mentor team members, and define GenAI and ML best practices.
Requirements
- At least 5 years of experience in Data Science or a related field.
- Proven experience delivering LLM-based systems to production and experience with classical ML projects.
- Strong hands-on experience with RAG, agents, and open-source LLMs.
- Deep understanding of latency, cost, scaling, and reliability trade-offs in production systems.
- Strong Python and SQL skills.
- Deep hands-on Databricks and distributed computing experience with Spark, including performance optimization.
- Experience deploying scalable ML and LLM systems on AWS, Azure, or GCP.
- Ability to independently design end-to-end AI solutions for client problems.
- Client-facing experience and willingness to participate in pre-sales processes.
- Clear and confident English communication in technical discussions.
Benefits
- International projects with clients and partners across locations including New York, the Netherlands, Sweden, and Scotland.
- Mentoring from the first day and ongoing personal and professional development support.
- Learning and development opportunities.
- Supportive, collaborative corporate culture with emphasis on work-life balance.
- Exposure to advanced technologies and diverse technical challenges.
Tech Stack
Categories
About Hiflylabs
Hiflylabs provides data engineering, analytics, AI/ML, and mobile application development for enterprises, delivering data warehouses, BI platforms, and cloud solutions. The privately held firm, founded in 2015 and headquartered in Budapest, operates as a consulting and implementation partner across AWS, Azure, Snowflake, and Databricks, where it holds partner status and MVP credentials. It serves customers in finance, telecom, energy, and other sectors in Europe and North America.