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MP DATA

MP DATA

www.mpdata.fr

15 Jobs

141 Employees

About the Company

MP DATA est une société de Conseil spécialisée dans la transformation digitale des entreprises. Plus particulièrement en Data Science et Recherche Opérationnelle

Listed Jobs

Company background Company brand
Company Name
MP DATA
Job Title
Data Scientist - IAGen 3D, Confirmé(e)
Job Description
**Job Title** Data Scientist – IAGen 3D (Senior) **Role Summary** Senior data scientist specializing in 3D generative AI for industry. Responsible for end‑to‑end data processing, model development, and deployment while collaborating with engineering and product teams to deliver scalable, high‑quality AI solutions. **Expectations** - Deliver production‑ready generative models with excellent performance and maintainability. - Communicate analytical insights clearly to non‑technical stakeholders. - Continuously evaluate and adopt emerging technologies and tools that improve the AI stack. **Key Responsibilities** - Analyze, structure, and enrich internal and external datasets. - Design, train, fine‑tune, and evaluate generative models (StyleGAN, VAE, Latent Diffusion, etc.). - Deploy and maintain models in a scalable, industrialized environment. - Collaborate closely with Data Engineers, DevOps, and Product Owners to ensure end‑to‑end consistency. - Participate in technology scouting, tool selection, and continuous improvement of the AI stack. **Required Skills** - 3–5 years of professional data science experience. - Proficiency in Python, PyTorch, and/or TensorFlow. - Proven experience with structured latent space generative architectures (StyleGAN, VAE, Latent Diffusion). - Expertise in latent space manipulation: inversion, vector arithmetic, disentanglement, and editing. - Solid knowledge of 3D geometry concepts such as Signed Distance Functions (SDF) and Neural Radiance Fields (NeRF). - Strong business analysis and the ability to translate technical results into actionable insights. - Commitment to code quality, performance optimization, and software reliability. **Required Education & Certifications** - Master’s degree (Bac+5) in Applied Mathematics, Computer Science, Data Science, or a closely related field.
Boulogne-billancourt, France
Hybrid
Junior
17-12-2025
Company background Company brand
Company Name
MP DATA
Job Title
Machine Learning Engineer – Industrialisation des modèles (H/F)
Job Description
**Job Title:** Machine Learning Engineer – Model Industrialization (MLOps) **Role Summary:** Design, develop, and operationalize machine‑learning models into scalable, production‑grade services. Build and optimise data ingestion, feature engineering, and training pipelines; implement CI/CD, containerisation, and observability solutions for ML workflows. Collaborate with data scientists, data engineers, and IT teams to translate proof‑of‑concepts into robust, cloud‑native deployments. **Expectations:** * Minimum 3 years’ professional experience in ML Engineering, MLOps, or ML‑oriented Data Engineering. * Proven ability to move prototypes into reliable, production‑ready systems. * Strong ownership and product mindset, delivering end‑to‑end solutions autonomously. **Key Responsibilities:** * Develop and maintain data pipelines and training workflows for large‑scale ML projects. * Implement CI/CD pipelines (GitOps, automated tests, model versioning) for continuous model delivery. * Containerise models using Docker; orchestrate deployments with Kubernetes and workflow tools such as Airflow or Kubeflow. * Deploy models as micro‑services (RESTful APIs) on cloud platforms; monitor performance, latency, and drift. * Ensure model observability: logging, metrics, alerting, and rollback mechanisms. * Work closely with data scientists to productionize feature stores and data platforms. * Continuously improve deployment architecture for scalability, reliability, and cost efficiency. **Required Skills:** * Programming: Python (scikit‑learn, TensorFlow, PyTorch). * MLOps tooling: CI/CD pipelines, Docker, Kubernetes, Airflow/Kubeflow. * Cloud & Data Platforms: AWS/GCP/Azure, data lakes, warehouses (Snowflake preferred). * DevOps/DataOps: version control, infrastructure‑as‑code, monitoring, observability. * Model versioning, lineage, and auditability. * Strong problem‑solving, communication, and collaboration abilities. **Required Education & Certifications:** * Engineer‑level degree (Bachelor/Master) in Computer Science, Engineering, or related field. * Certifications in cloud platforms (AWS, Azure, GCP) or MLOps (e.g., MLflow, TensorFlow Extended) are advantageous.
Paris, France
Hybrid
Junior
23-12-2025
Company background Company brand
Company Name
MP DATA
Job Title
Data Scientist NLP/AI Agents (5 ans XP)
Job Description
**Job title:** Data Scientist – NLP/AI Agents (5+ years experience) **Role Summary:** Lead the ideation, development, and industrialization of generative AI and autonomous agent solutions for a large industrial client. Drive the full lifecycle from concept to production, collaborating with data engineering, project management, and business stakeholders to deliver scalable, high‑performance AI services. **Expectations:** - Deliver end‑to‑end generative AI solutions within a strategic project for a major client. - Ensure robust, scalable, and maintainable production deployments. - Continuously innovate and integrate cutting‑edge generative models and agent frameworks. - Communicate technical concepts clearly to non‑technical stakeholders. **Key Responsibilities:** - Co‑design generative AI solutions (LLM, diffusion, multimodal, autonomous agents) tailored to business needs. - Prototype, fine‑tune, and deploy generative models, translating ideas into concrete use cases. - Define specifications, KPIs, and end‑to‑end AI pipelines with cross‑functional teams. - Manage model industrialization: robustness, scalability, maintenance, monitoring, and optimization. - Lead technology scouting, experimentation, and propose innovative methods to enhance projects. - Ensure ethical, secure, and regulatory compliance throughout the AI lifecycle. **Required Skills:** - Proficiency in Python and AI frameworks: PyTorch, TensorFlow, Hugging Face Transformers, Diffusers. - Hands‑on experience fine‑tuning LLMs, diffusion models, and multimodal architectures. - Expertise in MLOps: Docker, Kubernetes, MLflow, CI/CD pipelines. - Solid understanding of dialogue models, autonomous agents, and generative recommendation systems. - Knowledge of prompt engineering, embeddings, vector databases, and data governance best practices. - Strong communication, problem‑solving, and collaborative skills. - Awareness of AI ethics, security, and regulatory considerations. **Required Education & Certifications:** - Degree from an Engineering School or equivalent in Data Science, Artificial Intelligence, Computer Science, or related field. - Minimum 5 years of professional experience in Data Science/AI, with at least 2 years on generative AI or intelligent agent projects.
Boulogne-billancourt, France
Hybrid
Mid level
23-12-2025
Company background Company brand
Company Name
MP DATA
Job Title
Data Scientist NLP/LLM Engineer confirmé(e) (H/F)
Job Description
**Job Title** Senior NLP/LLM Engineer **Role Summary** Industrialise and deploy GenAI proofs‑of‑concept into scalable production solutions for industrial clients. Design robust LLM pipelines, RAG systems, and AI assistants, ensuring efficient integration with client IT and cloud environments. **Expectations** - Deliver production‑ready LLM services within client timelines. - Maintain high quality, scalable, and observable ML operations. - Collaborate cross‑functionally with data scientists, engineers, and IT teams. **Key Responsibilities** - Develop, fine‑tune, and optimise LLMs (LoRA, QLoRA, PEFT) for domain‑specific tasks. - Design and implement preprocessing, vectorisation, and generation pipelines. - Build and maintain RAG architectures and AI agents/assistants. - Deploy models to cloud (Azure, AWS, GCP) and handle integration with existing infrastructure. - Implement MLOps/LLMOps practices: CI/CD, Docker, Kubernetes, MLflow, versioning, monitoring, and alerting. - Work with vector databases (FAISS, Pinecone, Chroma) for retrieval and storage. - Conduct code reviews, unit tests, and documentation. **Required Skills** - Deep knowledge of LLM frameworks (OpenAI, HuggingFace, Mistral, Llama). - Proficiency in Python and libraries: transformers, LangChain, LlamaIndex, FastAPI. - Experience with RAG system design and vector database management. - Strong background in MLOps/LLMOps: CI/CD pipelines, Docker, Kubernetes, MLflow. - Cloud platform expertise (Azure, AWS, or GCP). - Familiarity with Snowflake (Snowpark, Cortex, vector search) is a plus. **Required Education & Certifications** - Graduate from a Grande École or equivalent engineering program. - Professional certifications in AI/ML or cloud platforms are advantageous.
Paris, France
Hybrid
05-01-2026