or apply directly on Qonto's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days Qonto's roles stay open a median of 28 days
- Reposted
- No
- Salary listed
- No 0% of Qonto's roles list one
- Ghost-job risk at Qonto
- low 0 stale, 15 reposted of 48 open
- Hiring momentum
- 92 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Qonto's own lever board since 2026-08-04. Full hiring picture for Qonto.
About this role
As a Staff Machine Learning Engineer on the AI Product team at Qonto, you will develop and deploy customer-facing AI solutions that leverage both Generative AI and traditional machine learning techniques. Your role involves end-to-end model development, integrating ML into the product ecosystem, building ML Ops frameworks, and ensuring robust production implementations. You will also mentor peers and contribute to best practices within the team.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qonto as an employer.
What you need
- 6+ years as an ML Engineer with ML Ops experience
- Experience developing and deploying client-facing ML products end-to-end
- Expertise in building and optimizing machine learning models for external customers
- Strong Python engineering skills
- Proficiency with FastAPI (or similar), third-party service integration, and database interaction in production
- Familiarity with tools that automate model retraining, performance checking, and drift detection
What you get
- Customer-facing AI with real impact
- A modern, flexible stack including Python, Snowflake, Kafka, and AWS
- A team building AI at the core of fintech
- Clear IC growth track for individual contributors
Worth weighing
- No salary listed
- Focus on client-facing products rather than internal tools
- Expectations for mentoring and sharing best practices may require strong interpersonal skills
Summarised from Qonto's posting. Read the full original.
Listed by Qonto on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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