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MP DATA

MP DATA

www.mpdata.fr

10 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
Stage Ingénieur d'Affaires / Business Manager
Job Description
Job Title: Business Manager Intern (Business Development) Role Summary: Deliver end‑to‑end business development for data and AI solutions, driving client acquisition, relationship management, and team leadership within a fast‑growing consulting firm. Expactations: - Entrepreneurial spirit and proactive mindset - Strong communication and negotiation skills - Persistent, self‑motivated, and keen to learn - Passion for data and AI technologies - Ability to collaborate across functions Key Responsibilities: - Conduct market research and prospecting to identify new business opportunities. - Contact potential clients, secure qualified appointments, and deliver compelling sales presentations. - Understand client business challenges and present appropriate data/AI solutions. - Support contract negotiations and close sales deals. - Design and implement innovative commercial campaigns (LinkedIn, events, targeted outreach). - Source, evaluate, and recruit data and AI experts for the consulting team. - Lead, coach, and monitor a small team of consultants. - Coordinate with senior managers and technical specialists to deploy solutions for clients. - Ensure smooth implementation and client satisfaction during solution rollout. Required Skills: - Excellent oral and written communication; persuasive presentation ability. - Strong networking and relationship‑building prowess. - Self‑starter with initiative, resilience, and problem‑solving aptitude. - Basic knowledge of AI, data analytics, or related technologies. - Proficiency with digital tools (CRM, LinkedIn, Microsoft Office). - Ability to work independently and collaboratively. Required Education & Certifications: - Final‑year undergraduate or graduate student in business, commerce, engineering, or related field. - Prior internship or coursework in sales/business development, data, or AI is desirable. - Strong command of English (written and spoken).
Lille, France
Hybrid
28-11-2025
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