Hiflylabs
Artificial Intelligence • Data Engineering • Analytics
Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
Senior Data Scientist, AI product mindset
Job not on LinkedIn
August 15
Hiflylabs
Artificial Intelligence • Data Engineering • Analytics
Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.
đź“‹ Description
• Budapest-based company Hiflylabs seeks a Senior Data Scientist with AI product mindset. • Responsibilities include delivering end-to-end data science projects, engaging with clients, leading pre-sales discussions, and mentoring the team. • Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings. • Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge. • 5 years of experience in data science; strong Python/SQL; experience with LLMs and NLP; cloud skills on AWS/Azure/GCP.
🎯 Requirements
• 5 years of experience in different Data Science topics (e.g. machine learning, LLM, deep learning) • Deliver independently Data Science projects, bring 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 our 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 to ensure our solutions remain cutting-edge. • 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 any of the following fields is highly preferred: international finance, healthcare, pharma or meteorology. • 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 (e.g.: Jupyter, VSCode) • Version control Git / BitBucket / AZ DevOps • Core machine learning libraries (sklearn, LightGBM, torch) • Traditional ML projects (supervised and unsupervised) • NLP experience / affinity: Understand concepts of text classification, information extraction • Generative AI & LLM frameworks - HuggingFace / transformers, OpenAI; proprietary API & open-source models • Understand concepts of RAG, build & maintain pipeline, understand concepts of pretraining, fine-tuning • 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) • Automatization 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
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