Cardiac SaMD Deep Learning Engineer – Remote (3 days/wk)

Implicity; Paris; Hybride; EUR 45 000 - 55 000; Plein temps

Avantages offerts par ce poste

Health care plan

Luncheon voucher

Transport support

Résumé du poste

Implicity, a digital MedTech company in Paris, is hiring a Deep Learning Engineer (Junior/Confirmed) for the SaMD squad. You will translate complex time-series data from cardiac devices into AI-powered solutions used by clinicians.

The role offers opportunities to work with data scientists, clinicians and product managers in a collaborative environment, emphasizing continuous learning and professional growth. French and English proficiency are required.

Qualifications

• Must have: at least one experience in Data Science or Deep Learning.
• Education: Master’s degree, Engineering degree, or PhD in Data Science, AI, Applied Mathematics, or related field.
• Hands-on experience with Python and Deep Learning frameworks.
• Strong theoretical knowledge of Deep Learning foundations and mathematics.
• Good understanding of self-supervised learning or generative modeling.
• Professional proficiency in French and English.

Responsabilités

• Contribute to research, development and validation of state-of-the-art Deep Learning architectures for time-series data from cardiac devices.
• Ensure reproducibility, scientific correctness and medical relevance of AI projects for patients and caregivers.
• Collaborate with Clinical team on scientific publications.

Connaissances

Python

Deep Learning

Data Science

PyTorch

TensorFlow

Formation

Master's degree / Engineering degree / PhD

Outils

PyTorch

TensorFlow

Description du poste

Implicity, a digital MedTech company in Paris, is hiring a Deep Learning Engineer (Junior/Confirmed) for the SaMD squad. You will translate complex time-series data from cardiac devices into AI-powered solutions used by clinicians.

The role offers opportunities to work with data scientists, clinicians and product managers in a collaborative environment, emphasizing continuous learning and professional growth. French and English proficiency are required.