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ML Engineer — defense AI Todas las ofertas
Rol IA · Oferta abierta
ML Engineer — defense AI
Helsing
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
3 habilidades 1 herramienta
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Empleo Indefinido (CDI), Tiempo completo
Modalidad Hybrid
Ubicación 52 Rue de la Chaussée d'Antin, Paris, IDF 75009, France · Hybrid
Compensación EUR 90k-125k/year + BSPCE Nivel de experiencia SeniorBeneficios BSPCE, mission défense européenne. Cómo aplicar CV ou perception en environnement contraint.
Publicada 22 jul 2026 Helsing is hiring a Senior ML Engineer — defense AI on the Perception team (Hybrid · Paris, France). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Helsing développe des capacités IA pour la défense européenne avec des contraintes de souveraineté et de sécurité.
ML Engineer (Paris) : perception, fusion capteurs, et déploiement edge avec processus qualité stricts.
What you will do
Deliver production-grade defense AI systems with measurable quality, latency, and cost targets. Build offline evals and online monitoring before scaling to full traffic. Collaborate with product, design, legal, or domain experts on safe rollout. Write clear RFCs, runbooks, and postmortems for cross-team learning. What we look for
Multiple shipped ML/LLM features—not coursework-only portfolios. Strong Python, SQL, and experimentation discipline. Clear communication for remote or hybrid stakeholders. Work authorization for the listed country. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
✓ You can show evidence in your application: CV ou perception en environnement contraint. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and Docker. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: EUR 90k-125k/year + BSPCE, benefits in At a glance) and your expectations align. Lo que pide la empresa
CV ou perception en environnement contraint.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
ML Engineer — defense AI
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
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