AI/ML Engineer (Fintech)

#vacancy #A I #ML #Fintech #On-site

🔴AI/ML Engineer

Responsibilities

We are looking for an engineer who combines strong data science expertise with solid software engineering skills. The role covers the full development cycle of ML and GenAI-driven features — from initial assessment and modeling to deployment and ongoing production monitoring.

The ideal candidate is comfortable operating across multiple domains within a single project and takes end-to-end ownership of delivered solutions.

Own ML/AI scoping for new product initiatives: feasibility assessment, data requirements, and technical approach proposal
Design, develop, and validate ML models and GenAI-based solutions appropriate to the business problem
Deliver reference implementations of model services (APIs, pipelines) ready for engineering integration
Participate in deployment planning: rollout strategy, A/B testing setup, infrastructure requirements
Define and maintain production monitoring: model quality metrics, drift detection, alerting

Requirements

Data Science & Machine Learning
Solid ML fundamentals and practical experience with model selection, feature engineering, validation, and calibration
Statistical fluency: A/B testing, metric design, basics of causal inference

Generative AI
Practical experience building GenAI-powered features: prompt engineering, RAG architectures, LLM integration
Strong focus on evaluation and quality measurement: ability to design eval pipelines, define quality metrics for generative outputs, detect regressions, and measure improvement across model versions
Understanding of GenAI failure modes and how to make them observable in production

Software Engineering
Python as primary language: production-quality code, packaging, testing, async
Python ecosystem fluency across the full stack: data layer (pandas, polars, numpy), classical ML (scikit-learn, XGBoost/LightGBM), deep learning (PyTorch, HuggingFace transformers), GenAI/Agentic orchestration tooling
SQL at an advanced analytical level: complex aggregations, window functions, query optimization
REST APIs, async pipelines, basic system design
Git, CI/CD, containerization

Production Mindset
Experience deploying ML/GenAI solutions to production and supporting them post-launch
Ability to define measurable quality and health criteria for a model before deployment

What we offer:
Stock options grant (we’re a Silicon Valley Company)
Competitive salary
On-site position with 4 days at the office and 1 day WFM
Medical insurance for you and 75% off for your relatives
Budget for lunch
Parking
Multisport card
Cheerful team spirit and fun office atmosphere

📍 Work Format

Hybrid model ( 4 days at the office and 1 day WFM)
Location: Warsaw, Poland

📩 How to apply
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