Senior Machine Learning Engineer (FinTech / MLOps / Agentic AI)

Location: Hybrid, preferably 1 day per week in the Warsaw or Cracow office.

Salary: 120–170 PLN/hour

Company

hirify.global is a software development company delivering UX, UI, frontend, backend, mobile, and partial solutions for clients and partners in Poland and abroad.

What you will do

• Design, develop, deploy, and operate machine learning models for credit scoring and merchant underwriting across the full ML lifecycle.
• Build point-in-time-correct features and shared feature-store solutions for BNPL and MCA decisioning.
• Define data source contracts, quality requirements, and freshness SLAs with Data Engineering teams.
• Design agentic workflows covering orchestration graphs, agent loops, context management, tool integrations, evaluation, and guardrails.
• Implement MLOps workflows for versioning, CI/CD, champion/challenger and shadow deployments, experimentation, retraining, validation, and model promotion.
• Monitor and optimize production systems for drift, performance, explainability, regulatory compliance, reliability, observability, and operational cost.

Requirements

• Strong commercial experience building and operating production Machine Learning Engineering solutions across feature engineering, training, validation, deployment, and monitoring.
• Very good knowledge of Python and SQL.
• Practical experience with Spark and/or Databricks in large-scale machine learning environments.
• Strong knowledge of model validation, including backtesting, Population Stability Index, Gini/KS metrics, and calibration.
• Experience with MLOps, model registries, versioning, CI/CD, monitoring, drift detection, automated alerting, and champion/challenger or shadow deployment strategies.
• Experience with feature stores and point-in-time-correct feature engineering.
• Knowledge of SHAP and LIME, technical and validation documentation, and model explainability.
• Experience developing advanced agentic AI workflows and a good understanding of Large Language Models in engineering workflows.
• Ability to design reliable, observable, cost-efficient ML systems; strong analytical, independent, hands-on problem-solving and collaboration skills.
• Very good English and Polish required.

Culture & Benefits

• Hybrid working model with preferably one office day per week in Warsaw or Cracow.
• Small, open, honest, and collaborative team with international projects and clients.
• Private medical care and sports card.
• Training courses, conference and publication opportunities, and access to challenging projects.
• B2B contract.

Hiring process

• Friendly remote initial interview.
• Remote technical discussion.
• Final decision to work together.