Senior Data Scientist with AI product mindset

<h3>Company Description</h3><p>Hiflylabs is a Budapest-based company. We have 200 employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.</p><p>Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.</p><p>We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.</p><p>Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.</p><p><strong>Get an insight on how we work and check out our </strong><a href="https://hiflylabs.com/"><strong>Website</strong></a><strong>, </strong><a href="https://www.linkedin.com/company/hiflylabs/"><strong>LinkedIn page</strong></a><strong> and </strong><a href="https://www.youtube.com/@hiflylabs"><strong>YouTube channel</strong></a><strong>!</strong></p><h3>Job Description</h3><p><strong>Responsibilities</strong></p><ul><li><p>At least <strong>5-7 years of experience</strong> in different Data Science topics (e.g. machine learning, LLM, deep learning)</p></li><li><p>Deliver independently Data Science projects, bring an <strong>e2e product-oriented mindset</strong></p></li><li><p><strong>Engage directly with clients</strong> to understand their business objectives and translate them into technical requirements.</p></li><li><p><strong>Lead pre-sales technical discussions</strong>, demonstrating the value and capabilities of our analytics solutions.</p></li><li><p><strong>Collaborate with cross-functional teams</strong> to integrate AI/ML solutions into the company's product offerings.</p></li><li><p>Provide thought <strong>leadership and mentorship within the team</strong>, fostering a culture of continuous learning and innovation.</p></li><li><p>Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge.</p></li></ul><h3>Qualifications</h3><p><strong>General qualifications</strong></p><ul><li><p>Fluent English speaker with excellent communication skills, comfortable in <strong>client-facing</strong> roles.</p></li><li><p><strong>5 years of experience</strong> in data science or a related field.</p></li><li><p>Hands-on experience with <strong>LLM projects, machine learning, deep learning</strong>.</p></li><li><p>Affinity to building product / product-oriented vision</p></li><li><p>Domain expertise in any of the following fields is highly preferred: <strong>international finance, healthcare, pharma or meteorology.</strong></p></li></ul><p><strong>Technical requirements</strong></p><ul><li><p>Strong <strong>Python </strong>and <strong>SQL </strong>skills</p></li><li><p>Knowledge of at least one of the <strong>cloud platforms (Azure / AWS / CP)</strong></p></li><li><p>IDE (e.g.: Jupyter, VSCode)</p></li><li><p><strong>Version control</strong> Git / BitBucket / AZ DevOps</p></li><li><p><strong>Core machine learning libraries</strong> (sklearn, LightGBM, torch)</p></li><li><p>Traditional ML projects (supervised and unsupervised)</p></li><li><p><strong>NLP experience</strong> / affinity: Understand concepts of text classification, information extraction</p></li><li><p><strong>Generative AI &amp; LLM frameworks</strong> - HuggingFace / transformers, OpenAI; proprietary API &amp; open-source models</p></li><li><p>Understand concepts of RAG, build &amp; maintain pipeline, understand concepts of pretraining, fine-tuning</p></li><li><p>Leverage cloud-based data science tools on <strong>AWS (SageMaker, Bedrock), Azure, or GCP </strong>for scalable model training and deployment.</p></li></ul><p><strong>Nice to have</strong></p><ul><li><p>Databricks / distributed computing / scalable ML</p></li><li><p>Familiarity with database systems (SQL, NoSQL)</p></li><li><p>ML Lifecycle management (e.g.: MLFlow / wandb)</p></li><li><p>Web frameworks (e.g.: Streamlit / FastAPI / Flask)</p></li><li><p>Automatization pipelines on cloud (e.g.: Azure Functions, AWS Lambda, Databricks notebook jobs)</p></li><li><p>API integration</p></li><li><p>Experience with deploying ML models in production environments</p></li><li><p>Experience with LangChain / LlamaIndex</p></li><li><p>Understanding of LLM Agents, agentic behavior, prompt engineering</p></li><li><p>Being able to differentiate what 'needs' LLMs and what can be solved with traditional ML / NLP</p></li></ul><h3>Additional Information</h3><p><strong>Why us?</strong></p><ul><li><p><strong>Diverse projects:</strong> In each assignment there is always something new either on the technical or on the business side that helps you grow.</p></li><li><p><strong>Cutting e