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Ensimag Alumni

Ensimag Alumni

www.ensimag-alumni.com

2 Jobs

4 Employees

About the Company

Ensimag Alumni est l'association des élèves et des diplômés de l'Ensimag. Elle a pour but de créer un lien de solidarité durable entre les ingénieurs Ensimag. Toutes nos activités sont menées par nos membres de façon bénévole. Nous avons besoin de la participation active de chacun d'entre vous, qu'elle soit ponctuelle ou régulière !

Listed Jobs

Company background Company brand
Company Name
Ensimag Alumni
Job Title
Senior Fullstack Developer (CDI) @Fleet
Job Description
**Job Title** Senior Fullstack Developer (Full‑time) **Role Summary** Lead design, development, and delivery of new features on Fleet’s existing platform. Own end‑to‑end solutions, mentor junior developers, collaborate with product and business stakeholders, and ensure high‑quality, client‑centric code that scales globally. **Expectations** - Mastery of JavaScript (React + Express) and TypeScript. - Ability to translate business requirements into technical specifications. - Pragmatic decision‑making on technology, tooling, and architecture. - Self‑directed delivery of projects with clear timelines and QA. - Mentorship and knowledge sharing with less‑experienced team members. - Active participation in scaling the platform for international markets. **Key Responsibilities** 1. Build and launch the IT security suite (MDM, antivirus, VPN, password manager). 2. Enhance the platform to support large device fleets (500–1,000+ devices). 3. Develop internal operational tools (supply chain, operations, KYB, contracts, billing). 4. Improve sales & marketing tooling (tracking, retargeting, mailings, automations, reporting). 5. Expose the API to external partners and maintain documentation. 6. Drive technical process improvements: unit/integration testing, CI/CD, error monitoring (Sentry), performance monitoring. 7. Maintain code quality via GitHub, GitHub Actions, and rigorous code reviews. **Required Skills** - **Front‑end**: React, Next.js, TypeScript, TanStack Query, React Hook Form, Zod, MUI. - **Back‑end**: Express, Node.js, TypeScript. - **Database**: PostgreSQL. - **Other**: Redis, GitHub, GitHub Actions, CI/CD pipelines, unit/integration testing frameworks, Sentry, REST/GraphQL API design. - Strong analytical and problem‑solving abilities. - Excellent communication, autonomy, and a collaborative mindset. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Proven experience in a start‑up or scale‑up environment, handling complex, autonomous projects. ---
Paris, France
On site
Senior
24-09-2025
Company background Company brand
Company Name
Ensimag Alumni
Job Title
Ingénieur stagiaire en deep learning
Job Description
**Job title** Deep Learning Intern **Role Summary** Conduct research on Transformer‑based models for dental image denoising, evaluate performance relative to classical methods and convolution‑based networks, and adapt a selected Transformer model via transfer learning or fine‑tuning. **Expectations** - Master's or B.Sc. final year student in Computer Science, Engineering or related field. - Strong foundation in mathematics, signal processing, image analysis and deep learning. - Ability to implement, train and benchmark state‑of‑the‑art neural architectures in Python (PyTorch/TensorFlow). - Communicate results clearly through technical reports and presentations. **Key Responsibilities** - Identify and select a suitable Transformer architecture for dental radiography denoising. - Preprocess raw intra‑oral and extra‑oral image datasets and prepare training pipelines. - Fine‑tune the chosen model on the company’s proprietary dataset. - Quantitatively compare denoising performance (execution time, signal‑to‑noise ratio, artifact suppression) against baseline techniques. - Document experimental setup, hyperparameters, metrics, and insights. - Collaborate with cross‑functional teams to discuss feasibility and integration of results. **Required Skills** - Proficiency in Python programming and deep learning frameworks (PyTorch/TensorFlow). - Experience with Transformers (e.g., Vision Transformers, Swin, etc.) or willingness to learn. - Knowledge of image denoising, convolutional neural networks, and evaluation metrics. - Solid mathematical skills: linear algebra, probability, optimization. - Good scientific writing and presentation skills. **Required Education & Certifications** - Currently enrolled in a Master’s or Engineering degree program (final year) in Computer Science, Electrical Engineering, Biomedical Engineering, or related discipline. - Coursework or projects in deep learning, image processing, and signal processing.
Croissy-beaubourg, France
On site
05-11-2025