Senior Data Scientist with AI product mindset

Stack

Responsibilities

• ▹Deliver independently Data Science projects, bringing an e2e product-oriented mindset
• ▹Engage directly with clients to understand their business objectives and translate them into technical requirements
• ▹Lead pre-sales technical discussions, demonstrating the value and capabilities of analytics solutions
• ▹Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings
• ▹Provide thought leadership and mentorship within the team, fostering a culture of continuous learning and innovation
• ▹Stay abreast of industry trends and advancements in AI/ML

Requirements

• ▹Fluent English speaker with excellent communication skills, comfortable in client-facing roles
• ▹5 years of experience in data science or a related field
• ▹Hands-on experience with LLM projects, machine learning, deep learning
• ▹Affinity to building product / product-oriented vision
• ▹Domain expertise in international finance, healthcare, pharma, or meteorology is highly preferred
• ▹Strong Python and SQL skills
• ▹Leverage cloud-based data science tools on AWS (SageMaker, Bedrock), Azure, or GCP for scalable model training and deployment
• ▹IDE experience (e.g. Jupyter, VSCode)
• ▹Version control with Git / BitBucket / AZ DevOps
• ▹Core machine learning libraries (sklearn, LightGBM, torch)
• ▹Traditional ML projects (supervised and unsupervised)
• ▹NLP experience / affinity: understanding concepts of text classification, information extraction
• ▹Generative AI & LLM frameworks - HuggingFace / transformers, OpenAI; proprietary API & open-source models
• ▹Understanding of RAG concepts, ability to build and maintain a pipeline, and understanding of pretraining and fine-tuning concepts

Nice to have

• ▹Databricks / distributed computing / scalable ML
• ▹Familiarity with database systems (SQL, NoSQL)
• ▹ML Lifecycle management (e.g. MLFlow / wandb)
• ▹Web frameworks (e.g. Streamlit / FastAPI / Flask)
• ▹Automation pipelines on cloud (e.g. Azure Functions, AWS Lambda, Databricks notebook jobs)
• ▹API integration
• ▹Experience with deploying ML models in production environments
• ▹Experience with LangChain / LlamaIndex
• ▹Understanding of LLM Agents, agentic behavior, prompt engineering
• ▹Being able to differentiate what 'needs' LLMs and what can be solved with traditional ML / NLP

Soft skills

What we offer

• ▹Diverse projects - something new in each assignment, technical or business side
• ▹Cutting edge technology and tools
• ▹Strong and motivating team
• ▹Work-life balance
• ▹Professional development through regular team gatherings and deep technical discussions
• ▹Focus on company culture
• ▹Personal mentoring throughout your career path

About the company

Hiflylabs is a Budapest-based company with 250+ employees, where the application development team and business intelligence experts work to provide effective solutions to business problems, with 10 years of experience across Hungarian and international BI projects.