ML Platform Engineer — Accelerate Scalable ML Workflows

Capital Fund Management (CFM); Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Capital Fund Management in Paris seeks an ML Platform engineer to accelerate researchers by building Python-first tooling and robust ML production workflows, enabling a smooth path from experimentation to production.

You will collaborate with data scientists and engineers to improve productivity, reliability, and production readiness of ML systems, while occasionally touching C++ components. This role emphasizes enablement over heroics and invites you to shape best practices across the ML stack.

Qualifications

• Strong Python engineering skills with testing and packaging discipline.
• Production experience with CI/CD, monitoring, and incident workflows.
• Fluency with containers and Linux.
• AWS experience in deploying and operating workloads.
• C++ reading/debugging when needed.
• Experience with large-scale time series.
• Iterative delivery with Agile.
• Ability to explain complex concepts clearly.
• User-focused, platform-minded approach.
• Influence without authority to drive best practices.
• Mentor teammates and share knowledge.

Responsabilités

• Enable and accelerate a functional team working with full scale market data by supporting their end-to-end ML lifecycle (data → training → evaluation → deployment).
• Drive adoption of ML Platform tools and services through hands-on integration support, examples, and pragmatic guidance.
• Guide the evolution of ML Platform tooling based on real user needs (identify friction, propose improvements, validate with users, help ship changes).
• Establish and promote standards for ML development: reproducibility, quality, auditability, and maintainability (testing, versioning, documentation).
• Build self-service tooling (libraries, templates, reference implementations, automation) to reduce dependency on the platform team.
• Improve production readiness of ML systems: CI/CD, environment consistency, monitoring/alerting, incident readiness, and safe rollout practices.
• Mentor junior team members as the team expands; teach by building (docs, examples, office hours, paired debugging).
• Advocate for industry best practices in ML-related software engineering across the company.

Connaissances

Python engineering

Production software

Containerization

Linux/Unix

AWS

C++ debugging

Time series ML

Agile delivery

Communication

Platform mindset

Outils

Docker

Kubernetes

AWS

Description du poste

Capital Fund Management in Paris seeks an ML Platform engineer to accelerate researchers by building Python-first tooling and robust ML production workflows, enabling a smooth path from experimentation to production.

You will collaborate with data scientists and engineers to improve productivity, reliability, and production readiness of ML systems, while occasionally touching C++ components. This role emphasizes enablement over heroics and invites you to shape best practices across the ML stack.