AI/ML Data scientist

Náplň práce, právomoci a zodpovednosti:

Join us in building a next-generation financial intelligence platform — a personal market analyst powered by advanced AI. The platform provides instant market insights, predictive analytics, and professional-grade tools for equities, bonds, commodities, and other asset classes. Its mission is simple: to bring the level of clarity and confidence once reserved only for institutions — to everyday investors.

This is not a hobby startup, but an ambitious, well-funded, and professionally led long-term venture.

Our client is a globally oriented fintech company built on a strong foundation — led by seasoned leaders from international fintech, with backgrounds in top global brokerage firms and investment companies. They bring years of experience in financial technology, growth strategy, trading, and portfolio management.

Role summary

End‑to‑end ownership of data science projects—from problem framing and data work to modeling, deployment, and monitoring. You balance classical ML and modern LLM/RAG techniques with strong product sense.

What you’ll do

• Problem framing: Translate business objectives into testable ML problems with measurable ROI.
• Data: Explore, clean, and engineer features from varied sources; partner with data engineering on pipelines.
• Modeling: Build and evaluate models (tree‑based, linear, time series, recommendation, NLP/CV as needed).
• LLMs & retrieval: Prototype and productionize LLM‑powered features (prompting, fine‑tuning, RAG, evaluation).
• MLOps: Package, deploy, and monitor models (drift, bias, performance); maintain feature stores and model registry.
• Experimentation: Design A/B tests; define metrics and guardrails.
• Documentation & enablement: Write clear docs; enable engineering/product to use models safely.
• Compliance & ethics: Apply privacy, safety, and fairness best practices.

Zamestnanecké výhody, benefity:

• Opportunity to be at the very beginning of a new international fintech project

• Direct influence on strategic and technical decisions

• Collaboration with experienced professionals from the global finance and AI sectors

• Modern work environment in Bratislava 

Informácie o výberovom konaní:
We will carefully review every application. Only candidates who meet the requirements and qualifications for the position will be contacted.

Požiadavky na zamestnanca:

• 3–7+ years in applied ML or DS; strong Python (pandas, NumPy, scikit‑learn), SQL.
• Experience with at least one deep learning stack (PyTorch or TensorFlow) and one orchestration tool (Airflow/Prefect).
• Familiarity with vector databases and LLM tooling (e.g., LangChain/LlamaIndex), and with MLflow/Kubeflow for tracking.
• Solid statistics and experimental design; ability to explain trade‑offs to non‑technical audiences.
• Bonus: streaming/real‑time ML, reinforcement learning, or domain expertise in FinTech

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