Staff Machine Learning Engineer for AI Product

Location: Remote, with the role listed for Paris, Barcelona, Milan, or Berlin

Company

hirify.global is a European fintech company providing a finance workspace with banking and financial tools for small and medium-sized businesses.

What you will do

• Develop machine learning models end-to-end, from product requirements and training through evaluation and production deployment.
• Combine Generative AI with proven machine learning techniques to build customer-facing financial products.
• Integrate models into hirify.global's product ecosystem in collaboration with Product Managers, Data Engineers, and Backend Engineers.
• Build ML Ops infrastructure for drift detection, performance tracking, automated retraining, monitoring, and alerts.
• Implement reliable production systems with quality assurance and continuous monitoring.
• Share best practices, improve internal tooling, and mentor other ML engineers.

Requirements

• 6+ years of experience as a Machine Learning Engineer with ML Ops experience.
• Experience developing and deploying client-facing ML products with measurable impact on real users.
• Expertise in building and optimising machine learning models, including choosing between Generative AI and established ML techniques.
• Strong Python engineering skills, including resilient and testable code, FastAPI or similar frameworks, third-party service integration, and production database interaction.
• Experience with ML Ops tools and infrastructure for model retraining, performance checks, and drift detection.
• Fluent English required as hirify.global's working language.

Nice to have

• Experience significantly improving existing ML infrastructure.
• Experience with financial services or other customer-facing AI products.

Culture & Benefits

• Work on customer-facing AI used by more than 600,000 business customers.
• Modern stack including Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, and Cursor.
• Opportunity to experiment with new tools when they support product goals.
• Join a team of 10 AI Engineers and 3 Data Ops professionals building AI for fintech.
• Clear individual-contributor growth path with access to current AI technologies.
• Inclusive, skills-focused culture with colleagues from more than 80 nationalities.

Hiring process

• The candidate journey is designed to take 20 working days.
• Applications are processed for assessment and may remain in the candidate pool for up to two years.