180 Emplois pour Pytorch - France

Les LLM, le RAG et les API IA n'ont plus de secret pour toi ?

Tu veux rejoindre un projet ambitieux autour de l'IA générative et prédictive, tout en faisant grandir une équipe technique motivée et impliquée ?
Toporder t'attend.

Nous concevons des solutions SaaS pour simplifier la vie des commerçant·es : gestion centralisée, automatisation, performance.

Notre priorité : la qualité produit et une expérience utilisateur fluide et efficace.

Ce que tu vas faire

En lien direct avec les équipes produit, design et backend, tu seras chargé·e de :

* Concevoir et intégrer des applications IA basées sur les LLM et le RAG (vector DB, embeddings, retrieval).

* Développer des modèles prédictifs (prévisions, recommandations, classification).

* Créer et maintenir des API IA exploitables par nos produits SaaS.

* Optimiser les performances, la scalabilité et les coûts des solutions IA mises en production.

* Assurer une veille continue et proposer de nouveaux cas d'usage IA concrets.

Tes objectifs

* Des solutions IA robustes, sécurisées et prêtes pour la production.

* Des livraisons régulières avec un haut niveau de qualité.

* Un impact direct sur la valeur business générée par l'IA.

Tes maîtrises

2 à 5 ans d'expérience en Machine Learning / Data Science appliquée.

Très bonne maîtrise de
Python
et des librairies IA (scikit-learn, PyTorch ou TensorFlow).

Expérience avec les
LLM
et frameworks comme
LangChain, LlamaIndex, Hugging Face
.

Bonnes connaissances des architectures
RAG
(vector DB type Pinecone, Weaviate, FAISS).

Compétences en développement d'
API
(FastAPI, Flask, etc.) et déploiement (Docker, CI/CD).

Culture data solide : SQL, ingestion/traitement de données, data cleaning.

Bonus : une expérience sur le cloud (AWS, GCP, Azure) ou MLOps.

Liberté d'action : une grande autonomie et la possibilité de tester tes idées.

Environnement stimulant : une petite équipe jeune, soudée, avec des grands projets à mener.

Impact direct : tu construis des briques technologiques stratégiques pour notre croissance.

Salaire annuel : entre 39K et 50k €

Autonomie et apprentissage en continu

Équilibre vie pro / perso respecté

Une ambiance conviviale, beaucoup d'écoute et de bienveillance

2 séminaires par an pour échanger, apprendre et se ressourcer

Remboursement à hauteur de 60% de ton abonnement TCL

Prime de transport

Prime vacances

Tickets Restaurant

Épargne salariale liée aux objectifs et à la satisfaction client

Prime de parrainage recrutement

Mutuelle SwissLife

Senior AI Consultant – Paris, France

We are seeking an experienced
Senior AI Consultant
to join our growing team in Paris. This is an opportunity to work on cutting-edge AI and data projects, advising clients on best practices and delivering scalable, secure, and impactful solutions across diverse industries.

What you'll do:

• Capture client requirements and design AI solution architectures tailored to business needs
• Build and operationalise ML and GenAI solutions using Azure ML, Synapse, Databricks, and Microsoft Fabric
• Develop and automate data pipelines and workflows with Azure ML Pipelines and DevOps
• Deploy AI solutions at scale, ensuring best practices in coding, security, and CI/CD
• Present insights and recommendations to stakeholders using Power BI and Azure AI Services

What we're looking for:

• Strong experience in
  data science, ML, or AI engineering
• Proficiency in
  Python, SQL
  and modern ML/LLM frameworks
• Hands-on expertise with
  Azure AI/ML ecosystem
  (Azure ML, Fabric, Synapse, Databricks)
• Familiarity with
  data integration tools
  such as Azure Data Factory
• Knowledge of responsible AI, bias mitigation, and data privacy considerations
• Excellent stakeholder management, problem-solving, and communication skills
• Microsoft AI/Data Scientist certification and prior consultancy experience are a plus

Location:
Paris (hybrid working model)

A chance to work in a collaborative, innovative environment with strong career growth and learning opportunities.

For more information please get in touch at Giuseppe.-

As Global AI PMO, you will be at the heart of Biocodex's AI journey, ensuring visibility, alignment, and impact of all AI projects across the Group. You will orchestrate the AI portfolio worldwide, drive governance excellence, and enable strategic decision-making by connecting business priorities with cutting-edge AI execution.

Your Responsibilities

• Portfolio Orchestration :
  Manage and maintain a clear, structured view of all AI projects across departments and countries
• Strategic Alignment :
  Ensure AI projects support business goals, maximize impact, and contribute to the Group AI roadmap
• Governance & Standard
  s : Define, promote, and enforce project governance frameworks (templates, rituals, reporting, KPIs)
• Performance Tracking :
  Monitor progress, risks, ROI, and budgets to ensure value creation
• Cross-functional Coordination :
  Act as a connector between AI Factory, IT, Compliance, Data, and Business Units
• Leadership Support :
  Assist the Head of AI in planning, consolidation, communication, and executive reporting
• Change Management
  : Promote AI literacy and cultural adoption across teams

Your Profile

• 5+ years in PMO, project management, or transformation roles (healthcare, pharma, or tech preferred)
• Strong organizational, analytical, and communication skills
• Experience with agile and hybrid project management methods
• Fluent in English and French
• Passion for AI and its impact on business, healthcare, and society

Other Information

Type of contract: permanent contract

Localization : Gentilly

Position open to people with disabilities

Why Biocodex?

Our four values are driving forces and bonds for all teams: we play collectively; we shape fair relations; we dare to innovate; we care for our ecosystem.

At Biocodex, we do not discriminate on the basis of gender, age, disability, nationality or sexual orientation. In fact, we welcome diversity, which we recognize as a source of strength for the company.

At Biocodex, our CSR approach is an holistic one to reconcile the « 4P's »: « People, Planet, Profit and Purpose » and we also ensure that our employees are provided with necessary and relevant tools for both their personal and professional development, while offering them competitive advantages and services.

At Chanel, the digital transformation of our operational landscape is accelerating, with a growing focus on harnessing advanced analytics and artificial intelligence (from ML to LLM and Agentic) to optimize our supply chain, sales performance, boutique operations…. As Product Manager AI, you will be a key player within a rapidly evolving Data & Analytics team that is currently being reorganized around groups of data domains, so it is better positioned to meet the needs of our internal partners.

You will be responsible for defining and building impactful AI and advanced analytics solutions to ensure that our divisions and markets benefit from robust, innovative, and actionable AI-driven tools.

Reporting to the Analytics Manager Finance, Operation and Sales, you will lead a multidisciplinary squad (of Data Scientists and ML Engineers) and collaborate closely with our Tech team as well as our supply chain, sales and boutique operations experts. You will operate within an agile framework, overseeing the lifecycle of AI products from discovery and validation to continuous improvement, always focused on delivering measurable business value.

Your main missions:

Squad Leadership

• Lead a squad of Data Scientists and ML Engineers in an agile (Scrum-like) environment
• Foster a culture of trust, technical excellence, and innovation, encouraging initiative and an entrepreneurial mindset

Product Management

• Define the vision, roadmap, and backlog for AI and advanced analytics products supporting supply, sales, and boutique operations
• Prioritize development and deployment efforts based on business impact and stakeholder needs
• Ensure rigorous methodologies for model evaluation, monitoring, and continuous improvement to guarantee effectiveness and relevance
• Champion the use of existing AI solutions and best practices, avoiding unnecessary reinvention

Collaboration

• Act as the central interface between Digital, Tech, supply, sales, and operations teams to ensure alignment and knowledge sharing
• Work closely with business stakeholders to understand their operational needs, translating them into tailored AI solutions
• Collaborate with the BI and Ad-hoc Analysis squads to ensure a unified data and analytics strategy across all domains, as well as the tech team to foster excellence in execution
• Build strong, trust-based relationships with business users, acting as a facilitator for change and innovation

Market & Technology Monitoring

• Stay ahead of industry trends, technological advancements, and competitive practices in AI and advanced analytics
• Identify opportunities to enhance processes and adopt new technologies, ensuring Chanel remains at the cutting edge

What Impact You Create At Chanel
Your leadership will transform complex operational data into clear, actionable AI-driven solutions that empower decision-making in supply, sales, and boutique management. Your products will directly support Chanel's performance, agility, and excellence at both local and market scales.

YOU ARE ENERGIZED BY
You thrive on leading multidisciplinary teams and delivering advanced AI products in fast-paced, high-stakes environments. You are passionate about operational excellence, data-driven decision making, and the practical application of AI in retail and luxury. You excel in communication, change management, and enjoy building bridges between technical and business teams.

What You Will Bring

• +5 years of significant experience in AI product management and delivery, ideally within supply chain, sales, or operations
• Strong expertise in data science (machine learning as well as LLM and agentic) & experience with model evaluation methodologies and MLOps
• Mastery of agile frameworks (Scrum, Kanban), with a strong product mindset applied to AI solutions
• Familiarity with data engineering concepts, data pipelines, and a good understanding of the AI technology landscape and maturity
• Excellent communication skills in both French and English, able to explain complex AI concepts to non-technical stakeholders
• Proven leadership, diplomacy, and the ability to drive projects in international, matrixed organizations
• Experience in the retail or luxury sector is a plus

What Chanel Can Offer You
At Chanel, you will have the unique opportunity to develop your AI product leadership and analytics expertise at the heart of a pioneering digital transformation. You will work alongside top-tier experts, tackle international challenges, and see the direct impact of your work on Chanel's operational excellence and innovation.

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.

Join Nio Robotics as we expand our work in ML/RL for Aru's locomotion skills and behaviors, we are looking for talented and passionate
Machine Learning engineers with experience in learning based robotic locomotion

Seniority & profile :

• From
  5 to 15 years
  of professionnel experience in
  software engineering.
• Applied knowledge in learning based robotic locomotion (RL, RL/MPC, etc.).
• Strong knowledge of
  robotics fundamentals
• Strong knowledge of
  machine learning fundamentals
• Experience with
  ML-ops
  for robotics : simulator tools, deployment of neural network.

At
Master/Engineering degree
or
PhD levels.

You would work on the core control stack of Aru,
state-of-the-art planning and controls algorithms on real robot hardware to allow extensive agility and interaction abilities.

Nio Robotics, the makers of Aru

Nio Robotics
is a fast-growing robotic startup focusing on fundamental innovation to build
Aru
, an
agile and capable mobile robot
for a range of applications as wide as the catalog of tools Aru can carry and use.

From inspections in the most constrained spaces to maintenance through advanced interaction, painting and more.

Embark on a journey with us as we pioneer the future of robotics with Aru

The next step: From Prototype to Industrialization

With the start of our Early Adopter Program, Nio Robotics is gearing up for its most ambitious chapter yet We're moving to industrialization and field deployments. Brace yourselves for a surge in team size, production, partnerships, and the initiation of innovative projects.

The soul of Nio Robotics :

• Join an ambitious startup during the early stages for an exhilarating journey
• A small, tailored team pushing forward in the same direction
• Groundbreaking ideas and fast implementation
• With a wide age range, the team is close to 50% international
• Cultivate your skills in an environment designed for learning and professional growth

Your job will be challenging and meaningful

We're inviting you to be part of a thriving community where your skills are valued, where you improve alongside Aru and where the result of your work is more concrete than ever

Ideal and Comfortable Workplace:

Nio Robotics's offices in the heart of Toulouse are another thing making it easier to get up in the morning:

• Central offices
  offering convenience and accessibility
• Harness the power of cutting-edge technological tools and equipment
  in constant evolution
• Embrace flexibility with
  1 to 2 days of home office per week
  and extended periods during summer and winter holidays

Do you want to be part of a team that harnesses the power of Artificial Intelligence (AI) and Machine Learning (ML) to revolutionize semiconductor manufacturing? As a student in our Product Engineering team, you will have the opportunity to work on exciting projects. You will also design, develop, and deploy AI and ML models to solve real-world problems. If you're eager to apply your skills in data analysis, AI, and ML to make a tangible impact on our business, and want to gain hands-on experience in a dynamic and innovative environment, then apply now and join our team in Provence

Job Description
We are seeking a highly motivated and enthusiastic student to join our team as an Artificial Intelligence (AI) focused Product Engineer. As a Product Engineer, you will be responsible for developing tools and improving processes based on AI and ML that meet the needs of our team. You will work closely with cross-functional teams, including manufacturing engineers, test engineers, and product engineers, designers to develop and launch innovative analytical tool.

In your new role you will:

• Collect, analyze, and model large datasets to identify trends, patterns, and correlations that can inform business decisions and improve manufacturing processes
• Design, develop, and deploy AI and ML models to solve problems in semiconductor manufacturing, such as predictive analysis, yield optimization, cost reduction and defect detection

Your Profile
You are a collaborative and communicative individual with a strong ability to work effectively with cross-functional teams, driving success through open communication and active collaboration. You thrive in an international environment, where you can leverage your excellent communication and organizational skills to support your team and contribute to the company's goals.

You are best equipped for this task if you:

• Are enrolled in a Master's degree in Computer Science, Electronics and Electrical Engineering, or a related field
• Have a strong background in AI and ML algorithms, including supervised and unsupervised learning, deep learning, and natural language processing
• Possess knowledge in electronics or semiconductor physics
• Are experienced with software development, including programming languages such as Python, C++, R, Java or others
• Are familiar with source code repository e.g. GIT, GitHub, GitLab
• Understand software development methodologies, including Agile and DevOps
• Are fluent in English, both writing and speaking

Please send us your
CV in English
so we can get to know you better.

Contact:
Ana Pacheco, LinkedIn

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?
– Automotive (ATV) shapes the future of mobility with microelectronics enabling clean, safe, and smart cars –
The ATV division is shaping the future of mobility by enabling clean, safe, and smart cars. Its product and solution offering is powering the decarbonization and digitalization of vehicles. By driving the transition to hybrid and purely electric vehicles, ATV is making a valuable contribution to cleaner roads. ATV is also increasingly digitalizing cockpit, infotainment, comfort, and lighting applications as it takes automated driving to the next stage with higher levels of connectivity, security, and safety.

The ATV portfolio integrates sensors, microcontrollers, high-performance memories for specific applications, power semiconductors based on silicon and silicon carbide, as well as components for human-machine interaction and vehicle connectivity. Infineon is the world leader in automotive semiconductors.

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Get full description in PDFDownload

Context

The European HPC landscape is transforming rapidly with the emergence of
Exascale
systems like the upcoming
Alice Recoque
supercomputer at
CEA
. These heterogeneous architectures require new programming paradigms to maintain performance and portability across varied GPU and CPU vendors. To address this challenge, the
CExA "Moonshot"
initiative contributes to key software infrastructure like
Kokkos
and leverages modern compiler frameworks such as
MLIR
(Multi-level Intermediate Representation) to establish a sustainable approach for domain experts to develop their applications without deep understanding of the modern programming models and architectures. For this purpose, we will explore the coupling technology of kokkos/python with MLIR to allow code developers to maintain kokkos codes only with the python expertise. As a case study, we will port a legacy fortran application for MDFT (Molecular Density Functional Theory) with modern programming approaches including Kokkos, Kokkos/python and python. Then, we will evaluate the performance portability, readability, productivity and mainatinability aspects of each approach to find a reasonable programming model to develop a code for domain scientists. This position is part of CExA's efforts to integrate advanced techniques, including
JAX-based or PyTorch-based AI models
, into our HPC workflows, fostering hybrid workloads that combine simulation and machine learning.

Mission

As a core member of the MDFT and CExA teams, your mission will be to
develop, prototype, and evaluate tools and methodologies
for performance optimization of MLIR-Kokkos-based HPC applications.

Your Main Responsibilities Will Include

• Tooling Development

• introduce a Kokkos dialect in MLIR as an intermediate representation of Kokkos

• Implement a translation infrastructure (based on potentially existing intermediate dialects) between Kokkos and JAX

• Code Optimization

• Profile and optimize MDFT across multiple architectures (Nvidia GPUs, AMD CPUs/GPUs, Intel CPUs)

• Evaluate integration opportunities for AI-based models via JAX or PyTorch to support hybrid workflows

• Collaboration & Outreach

• Collaborate with other CEA teams and international partners (Europe, US, Japan)

• Present results in conferences, workshops, and open-source contributions

Skills
You are a passionate engineer with a background in scientific computing and a drive to push the boundaries of performance portability.

Must-have

• Experience with LLVM, or compiler infrastructure
• Proficiency in modern C++ (17 or later)

Bonus

• Experience with performance optimization and profiling tools (e.g., VTune, Nsight)
• Familiarity with Kokkos or other GPU portability frameworks
• Familiarity with MLIR, or compiler infrastructure
• Solid software engineering practice: git, cmake, CI/CD, unit testing
• Knowledge of JAX or PyTorch and interest in ML or DL for scientific applications

Salary & Benefits

• Competitive salary based on experience and qualifications
• Up to 3 remote days/week
• 75% reimbursement of public transport costs
• 5 weeks of vacation + 4 weeks RTT
• International exposure: conferences, workshops, and collaborative projects
• Health insurance, retirement savings plans, and more

Apply now

Send your
CV
and
cover letter
to Applications will be reviewed continuously until the position is filled.

Cette offre est disponible dans les langues suivantes :

• Français- Anglais

Date Limite Candidature : mercredi 1 octobre :59:00 heure de Paris

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Intitulé de l'offre : Doctorant (H/F) en génie logiciel et intelligence artificielle

Référence : UMR5800-ROMROB-001

Nombre de Postes : 1

Lieu de travail : TALENCE

Date de publication : mercredi 10 septembre 2025

Type de contrat : CDD Doctorant

Durée du contrat : 36 mois

Date de début de la thèse : 1 décembre 2025

Quotité de travail : Complet

Rémunération : La rémunération est d'un minimum de 2200,00 € mensuel

Section(s) CN : 06 - Sciences de l'information : fondements de l'informatique, calculs, algorithmes, représentations, exploitations

Amélioration des LLM avec des données de code structurées pour une

meilleure compréhension et génération de code

Les grands modèles de langage (Large Language Models, LLM) ont transformé le

développement logiciel en fournissant des outils puissants pour la génération, la

documentation, le débogage et la refactorisation de code. Leur capacité à

comprendre les requêtes en langage naturel et à générer des extraits de code de

type humain les rend très utiles aux développeurs. Les LLM peuvent contribuer à

l'automatisation des tâches répétitives, à la fourniture d'explications et à la

génération de suggestions de code, améliorant ainsi la productivité et réduisant les

erreurs. L'émergence récente d'agents de codage, qui exploitent les LLM mais

bénéficient d'une autonomie croissante, promet d'amplifier cette tendance.

Malgré leurs atouts, les LLM présentent des limites lorsqu'il s'agit de gérer des

données hautement structurées telles que le code source. L'un des principaux

problèmes est que les LLM sont entraînés sur des données textuelles diverses, qui

peuvent ne pas capturer la structure et la sémantique complexes du code. Cela

peut entraîner des inexactitudes, notamment dans des situations telles que la

compréhension de bases de code complexes et la génération de code

contextuellement pertinent. De plus, les LLM s'appuient souvent sur des

techniques de génération augmentée par récupération (RAG), qui peuvent s'avérer

inefficaces et ne pas toujours fournir les extraits de code ou le contexte les plus

pertinents. En revanche, les agents de codage peuvent explorer une base de code

de manière semi-autonome, mais ce processus peut s'avérer long (et coûteux),

soumis aux mêmes contraintes.

L'objectif de cette thèse est d'exploiter les informations structurées présentes

dans le code source afin d'améliorer les informations contextuelles envoyées à un

LLM, qu'il soit autonome ou intégré à un agent de codage. La thèse s'appuiera sur

des outils d'analyse de code statique pour construire une représentation

structurée du code source et explorera les moyens les plus efficaces de

communiquer cette structure aux LLM. Elle explorera des approches structurées

de la RAG, des approches exploitant l'utilisation d'outils, ainsi que des approches

basées sur l'apprentissage, telles que l'affinage ou l'apprentissage par

renforcement de LLM spécialisés, afin de sélectionner les éléments de code

pertinents ou d'écrire des requêtes d'analyse statique pour sélectionner ces

éléments

La thèse se déroulera au LaBRI au sein de l'équipe Progress.

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.