Senior Data Scientist (AI)

Location: Hybrid in Budapest, Hungary

Company

hirify.global is a Budapest-based business intelligence, data analytics, data warehouse, application development, and AI solutions company with more than 250 employees and 10 years of experience across Hungarian and international projects.

What you will do

• Deliver end-to-end Data Science projects independently.
• Engage directly with clients to understand business objectives and translate them into technical requirements.
• Lead pre-sales technical discussions and demonstrate the value and capabilities of analytics solutions.
• Collaborate with cross-functional teams to integrate AI and ML solutions into product offerings.
• Provide technical thought leadership and mentorship within the team.
• Follow industry trends and advances in AI and ML to keep solutions current.

Requirements

• At least 5 years of experience in Data Science or a related field, including experience across different Data Science topics.
• Hands-on experience with LLM projects, machine learning, and deep learning.
• Fluent English and excellent communication skills, with confidence in client-facing roles.
• Product-oriented mindset and affinity for building products.
• Strong Python and SQL skills.
• Experience using cloud-based Data Science tools on AWS, Azure, or GCP for scalable model training and deployment, including AWS SageMaker or Bedrock where applicable.
• Experience with IDEs such as Jupyter or VSCode, version control tools including Git, Bitbucket, or Azure DevOps, and core machine learning libraries such as scikit-learn, LightGBM, or Torch.
• Experience with supervised and unsupervised machine learning, NLP concepts including text classification and information extraction, and Generative AI and LLM frameworks such as Hugging Face, Transformers, or OpenAI.
• Understanding of proprietary APIs and open-source models, RAG concepts, RAG pipeline development and maintenance, pretraining, and fine-tuning.

Nice to have

• Domain expertise in international finance, healthcare, pharma, or meteorology.
• Experience with Databricks, distributed computing, or scalable ML.
• Familiarity with SQL and NoSQL database systems and ML lifecycle management tools such as MLflow or Weights & Biases.
• Experience with Streamlit, FastAPI, Flask, API integration, or cloud automation pipelines such as Azure Functions, AWS Lambda, or Databricks notebook jobs.
• Experience deploying ML models in production environments.
• Experience with LangChain or LlamaIndex.
• Understanding of LLM agents, agentic behavior, and prompt engineering.
• Ability to distinguish use cases that require LLMs from those solvable with traditional ML or NLP.

Culture & Benefits

• Hybrid work in Budapest.
• Work across diverse technical and business projects using current technologies and tools.
• Collaborative, cohesive teams with a strong focus on mutual support.
• Work-life balance aligned with personal leisure activities.
• Regular team gatherings for knowledge sharing and technical discussions.
• Personal mentoring and a culture based on mutual respect and professional development.