13 Emplois pour Algorithm Development - France
Principal Engineer - Data Science
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
The Principal Engineer - Data science combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel wanting to continue to develop and grow their technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, they normally lead or support projects and initiatives with broad scope and high impact to the business. They are responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Main Responsibilities**
Technical Leadership
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Lead early research and proof-of-concepts for promising technology applications.
Provide ad-hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits.
Engineering/Technology Practices
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
Competency Governance
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
People Development
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hirings within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Additional Information**
Qualifications & Requirements
Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
At least 10 years of experience in an engineering or data science capacity
Desired Characteristics
+ Experience with state-of-the-art machine learning technologies & techniques in at least one of those domains: Natural Language Processing, Time Series, Computer Vision
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer or Senior Researcher role
+ Strong oral and written communication skills
+ Strong interpersonal and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Principal Engineer - Data Science
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
The Principal Engineer - Data science combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel wanting to continue to develop and grow their technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, they normally lead or support projects and initiatives with broad scope and high impact to the business. They are responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Main Responsibilities**
Technical Leadership
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Lead early research and proof-of-concepts for promising technology applications.
Provide ad-hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits.
Engineering/Technology Practices
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
Competency Governance
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
People Development
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hirings within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Additional Information**
Qualifications & Requirements
Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
At least 10 years of experience in an engineering or data science capacity
Desired Characteristics
+ Experience with state-of-the-art machine learning technologies & techniques in at least one of those domains: Natural Language Processing, Time Series, Computer Vision
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer or Senior Researcher role
+ Strong oral and written communication skills
+ Strong interpersonal and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Accelerator Data Science (Paris)
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
_This job offer is accessible to all, regardless of gender_ _._
**Job title** **:** _Data Scientist_
+ _Location: Paris_
**_About the job_**
We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.
Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi's capabilities make us the best place to push the boundaries of medicine through technology.
We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.
**About Sanofi:**
We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.
**Main responsibilities:**
+ Work with business teams to understand requirements, and translate them into technical needs
+ Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products
+ Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
+ Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
+ Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
+ Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
+ Work with developers, engineers, and MLOps to deliver AI/ML solutions
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
** **
**_About you _**
**Experience:**
+ Experience developing deployable code and deploying models in product-focused development under an agile environment
+ Experience in production-ready software development
+ Track record of applying machine learning/deep learning approaches to solve health-related problems
+ Experience with content generation using Large Language Models (LLM) is desired
+ Experience in a healthcare company is a strong plus
**Soft s** **kills:**
+ Excellent written and verbal communication skills
+ Experience working with multiple teams to drive alignment and results
+ Service-oriented, flexible, positive team player
+ Self-motivated, takes initiative
+ Problem solving & critical thinking
**Technic** **al skills:**
+ Experience with Retrieval-Augmented Generation (RAG)
+ Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge
+ Fine-tuning models to combine retrieval results with generative outputs
+ Knowledge of Agentic Frameworks
+ Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools
+ Familiarity with frameworks like LangChain, or similar agent-driven architectures
+ Prompt Engineering and Few-Shot Learning
+ Crafting effective prompts for specific tasks, leveraging few-shot and zero-shot paradigms
+ Optimizing prompts for performance, clarity, and reduced token consumption
+ Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics)
+ Natural Language Processing (NLP) Fundamentals
+ Understanding of transformer-based architectures (e.g., GPT, BERT, T5)
+ Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms
+ Building NLP pipelines for text classification, summarization, and entity recognition
+ Familiarity with Knowledge Graphs and Semantic Search
+ Building and integrating knowledge graphs for structured information retrieval
+ Leveraging semantic search for improved accuracy in large-scale document understanding
**Educati** **on:**
+ PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master's Degree in relevant domain
**Langu** **ages:**
+ English, French
**_Why choose us?_**
+ We provide a highly collaborative environment, with an opportunity to work with a world class team
+ Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
+ Bring the miracles of science to life alongside a supportive, future-focused team
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave
+ Play an instrumental part in creating best practice within our manufacturing facility
**Pursue** **_Progress_** **.** **Discover** **_Extraordinary_** **.**
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let's Pursue _Progress_ and Discover _Extraordinary_ - together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#LI-FRA
#LI-Hybrid
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
Lead Data Science Researcher
Hier
Emploi consulté
Description De L'emploi
A software development company is looking for a talented, long-term Lead DS Researcher.
The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.
We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.
This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.
What we’re looking for:
- Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
- Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
- Solid experience with deep learning frameworks like PyTorch or TensorFlow;
- Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
- Familiarity with medical or life science data is a strong plus;
- Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
- Comfortable working in Google Cloud Platform (GCP) environments.
Bonus points for experience with:
- State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
- Experience with pipeline orchestration tools like Airflow, Argo, etc.;
- Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
- Intermediate+ English — ability to participate in written discussions with international teams and clients.
Benefits:
- Join a mission-driven team working at the intersection of data, medicine, and impact;
- Work on meaningful challenges with long-term value for public health and healthcare quality;
- Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
- Fully remote-friendly setup with flexibility and trust at the core.
Lead Data Science & AI (H/F)
Publié il y a 6 jours
Emploi consulté
Description De L'emploi
Être Consultant Data Senior, au sein de l’équipe D&A chez BearingPoint c’est rejoindre une équipe dynamique qui traite les problématiques Data de nos clients…
…en les accompagnant par exemple dans l’élaboration de leur stratégie Data, l’exploration de leurs cas d’usage métier, la préparation de leurs données, l’architecture des systèmes data, le développement d’applications analytiques et de data science, la présentation de leurs données.
Vous intégrez l’équipe Data, Analytics et IA en tant que Lead Data Science et IA. Vous serez chargé de piloter et de développer l'offre de conseil en Data Science et Intelligence Artificielle de BearingPoint en France (de la stratégie à la mise en œuvre). Vous jouerez un rôle clé dans la structuration de l'offre, le développement commercial, le pilotage des missions, ainsi que dans le recrutement et les activités de marketing liées à cette offre.
Les missions :
Responsabilités Principales :
1. Structuration de l'Offre :
- Contribuer à définir et mettre en œuvre la stratégie de l'offre Data Science et IA en lien avec l’offre du cabinet au niveau global
- Assurer la veille technologique et méthodologique pour rester à la pointe du secteur.
- Collaborer avec les autres équipes en France pour intégrer efficacement les solutions de Data Science et IA dans l'ensemble des offres de BearingPoint.
- Collaborer avec l’équipe Product, en charge de l’industrialisation, de la maintenance et de la monétisation des cas d’usage réplicables entre clients.
2. Développement Commercial :
- En lien avec les responsables de compte, identifier et transformer les opportunités commerciales pour l'offre Data Science et IA.
- Présenter et promouvoir l'offre auprès des clients et lors d'événements professionnels.
- Construire et maintenir des relations solides avec les clients existants et potentiels.
3. Pilotage des Missions :
- Superviser et diriger les projets de Data Science et IA, garantissant la qualité et la conformité des livrables.
- Gérer les ressources, les budgets et les délais des projets.
- Assurer la communication et le reporting régulier sur l'avancement des projets.
4. Recrutement et Gestion d'Équipe :
- Participer activement au processus de recrutement pour renforcer l'équipe.
- Encadrer, former et développer les compétences de l'équipe en Data Science et IA.
- Favoriser un environnement de travail collaboratif et innovant.
5. Marketing et Communication :
- Collaborer avec l'équipe marketing pour promouvoir l'offre Data Science et IA.
- Participer à la création de contenu marketing (articles, études de cas, webinaires, etc.).
- Représenter BearingPoint lors de conférences et d'événements professionnels.
Votre profil :
Diplômé d'une grande école d’ingénieur, d'un Master ou PhD en Data Science, IA, Statistiques, Informatique ou domaine connexe, vous justifiez d'une expérience professionnelle d'au moins 8 ans en Data Science ou IA, dont au moins 5 ans dans un cabinet de conseil de premier plan.
- Compétences Techniques :
- Maîtrise des techniques avancées de Data Science et d'IA (machine learning, deep learning, NLP, etc.).
- Expérience avec les outils et langages de programmation (Python, R, SQL, etc.).
- Connaissance des plateformes de cloud computing (Azure, GCP, AWS).
- Idéalement, des connaissances sectorielles sur l’un des secteurs suivants : Retail, CPG, Média, Banque, Assurance, Pharma
- Compétences Managériales :
- Leadership et forte capacité à gérer une équipe.
- Capacité à gérer des projets complexes et multidisciplinaires.
- Excellentes communication et présentation.
- Langues : Maîtrise parfaite du français et de l'anglais (écrit et parlé).
Vous souhaitez construire une carrière dynamique et évolutive ?
Nous vous accompagnons au quotidien dans le développement de vos compétences grâce à des formations sur mesure et des certifications. Vos appétences et souhaits d’évolution sont également considérés pour vous permettre de réussir professionnellement et vous épanouir personnellement.
BearingPoint vous offre :
- Un métier, des missions, et un environnement de travail attractifs
- Un mode de travail hybride, flexible et collaboratif
- Un parcours de carrière dynamique et personnalisé
- Des moments fédérateurs et festifs
- La possibilité de soutenir des projets sociaux, sociétaux et environnementaux
- Et d'autres avantages attractifs : carte Swile, Gymlib, subvention télétravail, espaces de coworking, mobilité durable, parentalité.
La société BearingPoint s’engage à respecter la loi n° du 30 décembre 2004 contre les discriminations et pour l’égalité des chances. Les informations demandées au candidat concernent uniquement sa capacité à occuper l'emploi proposé et ses aptitudes professionnelles.
Tech Lead Data Science & Dataiku F/H
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
**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**
Tech Lead Data Science & Dataiku F/H
**Type contrat**
CDI
**Statut (CSP)**
Ingénieur & Cadre
**Temps de travail**
Temps complet
**Parlons de votre future mission**
Embarquement immédiat pour un voyage aux confins du digital !
La Direction du Système d'Information (DSI) de Safran Aircraft Engines est au cœur d'une transformation ambitieuse. Notre mission est d'accompagner notre croissance industrielle soutenue et les défis sociétaux de notre temps. La Digital Factory, véritable moteur de cette transformation digitale, a pour objectif de créer et de délivrer des produits et services innovants en exploitant des technologies de pointe.
Dans le cadre de notre développement, nous recherchons un-e Tech Lead en Data passionné-e et talentueux-se pour rejoindre notre équipe.
Vous aurez l'opportunité de :
- Concevoir et implémenter des solutions de Data Science robustes et scalables en utilisant Dataiku et d'autres solutions Cloud (Sagemaker, Bedrock.)
- Collaborer avec les équipes produit et développement pour intégrer les solutions de Data Science dans nos applications métier.
- Élaborer des modèles prédictifs et des analyses avancées pour résoudre des problèmes complexes et améliorer la prise de décisions.
- Travailler avec les parties prenantes pour comprendre les besoins métier et traduire ceux-ci en projets Data Science concrets.
- Encadrer et mentor les membres de l'équipe, en favorisant une culture d'apprentissage continu et d'innovation.
- Être le garant de la définition des meilleures pratiques et standards de data science au sein de l'organisation.
- Être le garant de la roadmap technologique du domaine.
- Rester informé des tendances et des avancées dans le domaine de la Data Science et du machine learning.
**Parlons de vous**
Vous possédez les compétences suivantes :
- Diplômes en Data Science, Informatique, Statistiques, Mathématiques ou dans un domaine lié.
- Expérience prouvée en tant que Data Architect, Data Scientist ou Data Science Lead, avec une expertise significative dans l'utilisation de Dataiku.
- Solide expérience avec les outils et technologies de traitement de données (Python, R, SQL, etc.).
- Expérience avérée dans la maintenance technique d'infrastructure GPU.
- Excellentes compétences en résolution de problèmes, pensée analytique et capacité à transformer des idées complexes en solutions pratiques.
- Grandes aptitudes à la communication et capacité à travailler efficacement avec des équipes interdisciplinaires.
- Maîtrise du français et de l'anglais, afin de collaborer avec nos collègues indiens et internationaux.
Si vous souhaitez relever ce défi passionnant et contribuer à la transformation digitale de Safran Aircraft Engines, rejoignez-nous !
**Localisation du poste**
**Localisation du poste**
Europe, France, Nouvelle Aquitaine, Gironde
**Ville**
Bordeaux
**Critères candidat**
**Niveau d'études min. requis**
BAC+5
**Niveau d'expérience min. requis**
Supérieure à 5 ans
**Langues**
Anglais (Courant)
Consultant senior IA & data Science (H/F)
Publié il y a 5 jours
Emploi consulté
Description De L'emploi
Dans un contexte de transformation porté par l’IA, les entreprises doivent faire face à un double défi : innover vite, tout en garantissant robustesse et scalabilité. Ce nouvel équilibre redéfinit les standards techniques et organisationnels du marché.
C'est précisément dans ce paysage en pleine mutation que nous intervenons auprès de nos clients (grands groupe et start-up), en proposant une expertise complète couvrant la définition de la stratégie data/IA, jusqu’à l’industrialisation de modèles via des pipelines MLOps robustes et scalable. Nous accompagnons aussi des migrations de workloads HPC vers le cloud (AWS, GCP), et optimisons des infrastructures pour des usages LLMs à grande échelle.
Nous vous proposons un rôle stratégique, ou vous aurez pour missions principales :
Concevoir et piloter des stratégies IA/ML ambitieuses et pertinentes pour des clients variés (industrie, finance, biotech).
Piloter et superviser la réalisation de ces projets complexes, de la conception à la mise en production (CoProj).
Encadrer, accompagner et faire monter en compétences les équipes techniques (Data Scientists, Ingénieurs ML, spécialistes MLOps).
Assurer un rôle de référent technique auprès d'interlocuteurs de haut niveau (ComEx, CoDir, directions métiers).
Participer activement au développement commercial : rédaction de propositions commerciales, cadrage technique et avant-vente.
Soyez le premier informé
À propos du dernier Algorithm development Emplois dans France !