Senior Machine Learning Engineer

Summary

Join Qonto as a Senior Machine Learning Engineer and build impactful machine learning models that directly enhance the user experience for over 500,000 customers. You will work with a team of experienced engineers, using modern technologies like Python, Snowflake, and AWS tools, to deliver new models end-to-end, from product requirements to deployment. Your work will directly impact Qonto's users and experience, and you will have the opportunity to scale solutions and contribute to the team's knowledge and tooling. Qonto offers a modern tech stack, growth opportunities, and a clear individual contributor track. The role requires 3+ years of experience in Machine Learning Engineering with ML Ops, particularly in developing client-facing products. Qonto provides a competitive salary package and various benefits, including remote work policy, meal vouchers, health insurance, employee well-being initiatives, and parental leave policies.

Requirements

• Experience: You have 3+ years of experience in Machine Learning Engineering coupled with ML Ops, particularly in developing client-facing products. You're familiar with tools that automate model retraining and performance checking
• Modeling expertise: You have experience building and optimizing machine learning models for external clients
• Software Engineering: You're proficient at writing resilient, high-quality, testable code in Python, and you understand how to integrate with third-party services and databases at scale and FastAPI or a similar web framework
• Problem-solving: You have a proven track record of identifying complex problems and implementing effective solutions in machine learning contexts
• Proactivity: You take the initiative to improve processes and don't wait for problems to arise before addressing them
• Language: You are fluent in English

Responsibilities

• Deliver new models end-to-end, from understanding product requirements to implementation and deployment
• Align with various stakeholders, including Product Managers, Data Engineers, and Backend Engineers to ensure seamless integration of ML solutions into the product ecosystem
• Develop models: design, train, evaluate, and iterate on ML models using modern techniques tailored to real business problems
• Put models into production with robust technical implementation and quality assurance processes
• Scale our solutions
• Create an ML Ops framework for the team to ensure our models scale effectively with proper monitoring and alerts (e.g., model drift detection, performance tracking, automated retraining pipelines)
• Share best practices within the ML team, contributing to internal knowledge, tooling improvements, and mentoring peers

Benefits

• Offices in Paris, Berlin, Milan, Barcelona, and Belgrade
• Tailor-made remote work policy depending on the job you apply for and where you live
• Competitive salary package
• A meal voucher
• Public transportation reimbursement (part or global)
• A great health insurance (depending on the country)
• Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities
• A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners
• Monthly team events