6 hours ago
Budapest, HungarySenior
Responsibilities
- Own the architecture and production delivery of LLM systems, classical ML solutions, RAG pipelines, agentic workflows, and scalable AI services.
- Design and optimize retrieval strategies, chunking, indexing, monitoring, evaluation, latency, cost, scalability, and reliability.
- Architect distributed GenAI and ML workloads on Databricks using Spark and MLflow, including performance optimization.
- Define trade-offs between LLMs and traditional ML, fine-tuning and RAG, and hosted and self-managed models.
- Productionize systems with monitoring, rollback, versioning, and deployment processes.
- Design end-to-end AI solutions tailored to client problems and contribute to client engagements and 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, beyond proof-of-concept projects, along with classical ML project experience.
- Strong hands-on experience with RAG, agents, and open-source LLMs.
- Deep understanding of system-level trade-offs involving latency, cost, scaling, and reliability, with experience optimizing 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
- Mentoring from the first day and ongoing professional development support.
- International projects with clients and partners across multiple countries.
- Learning and development opportunities involving advanced technologies.
- Supportive, empowering corporate culture with opportunities for autonomy.
- Healthy work/life balance and reduced unnecessary meetings and administration.
- Collaborative environment with professional mentoring and social support.
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.