41 Emplois pour Nlp - France

LLM & NLP : Automatisation Agentique de Processus Techniques F/H
**Détail de l'offre**
**Informations générales**
**Entité de rattachement**
Safran est un groupe international de haute technologie opérant dans les domaines de l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. Sa mission : contribuer durablement à un monde plus sûr, où le transport aérien devient toujours plus respectueux de l'environnement, plus confortable et plus accessible. Implanté sur tous les continents, le Groupe emploie 100 000 collaborateurs pour un chiffre d'affaires de 27,3 milliards d'euros en 2024, et occupe, seul ou en partenariat, des positions de premier plan mondial ou européen sur ses marchés.
Safran est la 2ème entreprise du secteur aéronautique et défense du classement « World's Best Companies 2024 » du magazine TIME.
Safran Aircraft Engines conçoit, produit et commercialise, seul ou en coopération, des moteurs aéronautiques civils et militaires aux meilleurs niveaux de performance, fiabilité et respect de l'environnement. La société est notamment, à travers CFM International*, le leader mondial de la propulsion d'avions commerciaux courts et moyen-courriers.
* CFM International est une société commune 50/50 de Safran Aircraft Engines et GE Aerospace.
Parce que nous sommes persuadés que chaque talent compte, nous valorisons et encourageons les candidatures de personnes en situation de handicap pour nos opportunités d'emploi.
**Référence**

**Description du poste**
**Intitulé du poste**
LLM & NLP : Automatisation Agentique de Processus Techniques F/H
**Type contrat**
Stage
**Durée du contrat**
6 mois
**Statut (CSP)**
Etudiant
**Temps de travail**
Temps complet
**Parlons de votre future mission**
Safran, acteur majeur dans l'aéronautique, la défense et le spatial, s'engage dans l'intégration de l'intelligence artificielle pour accroître l'efficacité de ses activités. Au sein du DataLab, nous développons des solutions de Data Science pour répondre de manière innovante aux besoins industriels.
Le stage proposé s'inscrit dans une démarche d'automatisation des processus décisionnels techniques par l'usage d'agents intelligents basés sur les modèles de traitement du langage naturel (NLP) et les LLM (Large Language Models).
Objectif du stage
Ce stage vise à concevoir et expérimenter une approche agentique permettant d'automatiser la génération de recommandations techniques à partir des retours d'expérience (REX) et des alertes issues du monitoring des données de vol. L'ambition est de capitaliser l'expertise technique accumulée au sein des équipes de suivi moteur pour en faire un système d'aide à la décision intelligent, capable de proposer des recommandations cohérentes, argumentées et traçables.
Missions principales
1. Analyse et veille technologique
o Étudier l'état de l'art des agents intelligents.
o Identifier les méthodes et outils open source les plus adaptés au contexte industriel Safran.
2. Capitalisation du retour d'expérience
o Utiliser des modèles de NLP pour extraire, organiser et valoriser les retours des alertes issues de la surveillance des données de vol (feedbacks clients, recommandations des experts métiers.).
o Formaliser les règles métiers et logiques décisionnelles actuellement suivies par les experts.
o Constituer une base de connaissance structurée et exploitable pour les agents de recommandation.
3. Développement et expérimentation d'agents intelligents
o Prototyper des agents capables d'analyser automatiquement les alertes et de générer des recommandations techniques en se basant sur la base de connaissance construite.
o Expérimenter et comparer différentes approches de NLP pour optimiser la pertinence et la fiabilité des recommandations automatisées.
4. Valorisation et amélioration continue
o Mesurer l'efficacité des solutions agentiques déployées et l'impact de la capitalisation sur la qualité des recommandations produites.
o Proposer des axes d'amélioration pour maintenir une base de connaissances vivante et pertinente.
**Mais encore ? (avantages, spécificités, .)**
L'équipe dans laquelle vous évoluerez est jeune et dynamique et est constituée de 15 data scientist.
**Parlons de vous**
- Étudiant(e) en Master ou école d'ingénieur avec une spécialisation en science des données, IA ou informatique.
- Maîtrise du langage Python, Git et des librairies NLP (Torch, Hugging Face, transformers, nltk_data.).
- Connaissances solides des concepts de NLP
- Appétence pour les modèles de LLM
- Esprit analytique et structuré, capacités de synthèse et de communication.
- Des notions de cloud AWS et de développement d'application (Streamlit, Dash.) seraient un plus.
**Localisation du poste**
**Localisation du poste**
Europe, France, Ile de France, SEINE ET MARNE (77)
**Ville**
Moissy-Cramayel
**Critères candidat**
**Niveau d'études min. requis**
BAC+5
**Niveau d'expérience min. requis**
Jeune diplômé-e/Première expérience

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?

• Innovative Solutions : We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
• Global Impact : Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
• Collaborative Culture : With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
• Mission-Driven Purpose : Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

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The Role

As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.

You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions.

Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring , ensuring our clients stay ahead in a rapidly evolving digital landscape.

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Responsibilities and Duties

• Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).
• Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and online content analysis .
• Collaborate with cross-functional teams to improve product and system performance.
• Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.
• Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation.
• Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.

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Essential

• Proven experience as a Machine Learning Engineer with at least 3 years of professional experience.
• Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras .
• Experience with image processing , feature extraction , and text preprocessing techniques .
• Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis .
• Hands-on experience with large datasets and data pipelines for training and deploying ML models.
• Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
• Full professional English proficiency

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Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.

WHO WE ARE

Adikteev, a member of the 2025 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and CTV UA campaigns.

With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving a 60% revenue growth this year ($50m+ revenues in 2023).

HOW WE MAKE AN IMPACT

Own it, Live it : Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.
Rolling with Changes : We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
Making waves with purpose : We're here to make a difference. Every decision and action is aimed at creating positive and meaningful impact.
The ADIKTEAM vibe : We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments.

WHAT YOU WILL DO

We are looking for a Senior Machine Learning Engineer to help design, deploy, and evolve predictive models that power Adikteev’s core adtech systems. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.

Your responsibilities will include:

• Own machine learning pipelines end-to-end: data preparation, feature engineering, model development, training, deployment, monitoring, and iterative improvements.

• Build and maintain models focused on getting the best return-on-investment for every ad impression while satisfying production constraints specific to our industry (large volumes and low latencies).

• Collaborate closely with Engineering team to industrialize model delivery and ensure smooth operations in production.

• Investigate anomalies, performance shifts or A/B test results, and deliver clear insights to business and product stakeholders.

• Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.

• Mentor less experienced members of the team

WHO YOU ARE

You could be a great addition to our Machine Learning team if you recognize yourself in several of the following areas:

• Academics

  • Strong theoretical background in mathematics and/or computer science

  • MS or PhD is a plus

• Professional experience

  • 6+ years of experience in hands-on roles that leverage machine learning to power a core company product

  • Significant experience with production environments: testing, deploying, monitoring, etc.

  • Experience in AdTech is a plus

• Engineering & infrastructure skills

  • Write clean, maintainable, production-quality Python code, with a strong grasp of testing, typing, CI/CD.

  • Hands-on experience with Scala, Spark, Airflow and/or AWS is a plus

  • Hands-on experience with large-scale data engineering or high-frequency inference systems is a strong plus

• Machine learning skills

  • Intimate understanding of theoretical concepts in probability, statistical learning, and optimization

  • Significant modelling experience with tabular data for classification and regression problems

  • Practical experience of deep learning and embeddings is a plus

Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.

PERKS AND BENEFITS*

• Competitive Salary ;

• Performance-based Quarterly bonus with transparent KPIs;

• Profit-sharing scheme ("Prime de participation") ;

• Longevity bonus every 2 years ;

• Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;

• €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;

• 4 1/2 days work week (Fridays afternoon off) ;

• “RTT” ;

• 50% of transportation fees covered by Adikteev (Navigo Pass)

• Mental Health support ;

• Flexible remote working policy ;

• Regular team-life event / activity

• Inclusive parental leave Policy.

*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that’s both relevant and compliant wherever you are.  

OUR PROCESS

What to expect as you move through our hiring process:

• HR call with Claire, Talent Acquisition Partner ;

• Team fit interview with Loïc, Chief Product Officer ;

• Technical case study to be completed remotely with a follow-up discussion with Gwenaëlle and Nicolas, Senior ML Engineers. This discussion will involve a 30-minute live test ;

• Final interview with two executive committee members.

If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.

OUR COMMITMENT

We’re proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don’t meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.

Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.