AI role · Open offer
Avon Vision Robotics
This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.
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ML Platform Lead
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Profile active · Apr 5
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How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, PyTorch, AWS
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Profile active · Apr 5
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Side-by-side PyTorch vs ONNXRuntime serving with traffic mirroring; automated diff on logits an…
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How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, PyTorch, Docker
Missing: AWS
How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, PyTorch, AWS
Missing: Docker
How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, Docker
Missing: PyTorch, AWS
How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, PyTorch
Missing: Docker, AWS
Lyon plant-floor AI squad delivers defect detection for automotive suppliers. You will iterate quickly with quality engineers while meeting strict traceability for ISO programs.Hybrid with regular site visits; PPE and safety training provided.What you will doOwn CV model lifecycle: datasets,…
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Helio Foundry — Build and operate large-scale PyTorch fine-tuning for domain-specific LLMs: FSDP/DeepSpeed-style runs, LoRA/QLoRA recipes, data mixing, and eval gates before merge to production serving.Remote EU; overlap CET ±2h.
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