OVENTI Consulting

3 Jobs

6 Employees

About the Company

Cabinet de conseil en Data et Intelligence Artificielle qui allie expertise technique de pointe, vision stratégique et accompagnement sur mesure. Nous couvrons tout le cycle de vie des projets Data/IA, de la stratégie à l'implémentation de solutions personnalisées (ML, BI, automatisation intelligente). Nos équipes, issues des meilleures écoles, s'intègrent chez nos clients ou opèrent depuis notre LAB interne, véritable foyer d’innovation. Chez Oventi, nous privilégions le "sur mesure" et l'innovation concrète. Chaque collaborateur est accompagné, formé et suivi pour garantir une culture d'excellence et un impact réel. Convaincus que le partage et la transmission sont accélérateurs de transformation, nos talents remettent en cause le statu quo pour créer de nouveaux modèles opérationnels et stratégiques innovants. Chez nos clients et au sein des grandes organisations, ils sont les FUTURE TELLERS.

Listed Jobs

Company Name: OVENTI Consulting
Job Title: ML Engineer H/F
Job Description: **Job Title** ML Engineer **Role Summary** Design, develop, and industrialise AI/ML solutions end‑to‑end, from model research to production deployment, ensuring robustness, performance, and scalability within cloud‑based data pipelines. **Expectations** - 5+ years as an AI/ML Engineer. - Master’s degree or equivalent in Data Engineering, AI, or Data Science. - Proven track record of building and deploying production‑ready ML models, preferably on GCP. - Strong collaboration skills and commitment to continuous improvement. **Key Responsibilities** 1. Analyse business requirements, design ML models, and develop training pipelines using Python, SQL, and Shell. 2. Prepare, transform, and ingest large datasets (CSV, JSON, Avro) into data lakes and warehouses. 3. Create efficient, reproducible data pipelines with GCP Dataflow, BigQuery, DBT, and Kafka. 4. Industrialise models into CI/CD workflows (GitLab, Docker, Kubernetes) and version them with MLflow. 5. Monitor model performance in production via Prometheus/Grafana and provide technical support to QA teams. 6. Produce high‑quality code, rigorous documentation, and technical proposals for process optimisation. **Required Skills** - Programming: Python, SQL, Shell scripting. - ML frameworks: Scikit‑Learn, TensorFlow, PyTorch. - ML lifecycle tools: MLflow. - Data engineering: GCP Dataflow, BigQuery, DBT, Kafka. - Containerisation & orchestration: Docker, Kubernetes. - CI/CD platforms: GitLab. - Observability: Prometheus, Grafana, logging tools. - Version control & collaboration: Git, Jira, Confluence. **Required Education & Certifications** - Master’s degree or engineering school diploma in Data Engineering, Artificial Intelligence, or Data Science. - No mandatory certifications, though knowledge of GCP, Kubernetes, and MLflow is highly valued.

Paris, France

On site

12-01-2026

Company Name: OVENTI Consulting
Job Title: Software Engineer Back end Java H/F
Job Description: Job Title Software Engineer – Back End Java Role Summary Lead design and development of mission‑critical back‑end services for data and AI lifecycle applications. Focus on high quality, performance, and reliability using modern Java stack and event‑driven microservices architecture. Expectations - Minimum 5 years of professional experience in Java backend development. - Master’s degree or engineering school graduate with a specialization in software development. - Proven teamwork in agile environments (Scrum, CI/CD). - Strong understanding of domain‑driven design and hexagonal architecture. Key Responsibilities - Analyze technical requirements and architect scalable solutions. - Implement features in Java 17/21 with Spring Boot 3, adhering to coding best practices. - Write comprehensive unit, integration, and end‑to‑end tests (JUnit, AssertJ, SpringBoot Tests, Karaté). - Participate actively in code reviews, pair programming, and continuous improvement of development processes. - Manage deployments and monitor services in production; respond to incidents and fine‑tune performance. - Collaborate cross‑functionally with product owners, data engineers, and DevOps to deliver high‑quality releases. Required Skills - Java 17/21, Spring Boot 3, hexagonal & event‑driven architecture using Apache Kafka. - Test‑driven development (TDD/BDD) with JUnit, AssertJ, SpringBoot tests, Karaté. - CI/CD pipeline management (GitLab CI), cloud provisioning on GCP, PostgreSQL database design. - Agile Scrum practices with JIRA, Confluence; Domain‑Driven Design principles. - Strong problem‑solving, code readability, and effective communication. Required Education & Certifications - Master’s degree or engineering diploma in Computer Science / Software Engineering. No specific certifications mandatory.

Company Name: OVENTI Consulting
Job Title: Lead Data Scientist H/F
Job Description: Job Title: Lead Data Scientist (M/F) Role Summary: Lead the reliable industrialization and scaling of a strategic on‑premise Generative AI Agent for a global technology leader, ensuring quality, security, and performance for up to 20,000 users. Expectations: Deliver end‑to‑end engineering, from POC refinement to full production deployment, while acting as the technical AI reference for the client and coordinating cross‑functional teams. Key Responsibilities: - Lead and structure AI workstreams with Data, DevOps, and business teams. - Audit, optimize, and refactor existing Retrieval‑Augmented Generation (RAG) pipeline, reducing hallucinations and ensuring source traceability. - Design a scalable architecture that supports 20,000 concurrent users, including GPU resource planning, orchestration, and observability. - Define MLOps and CI/CD pipelines for on‑premise LLMs (Mistral) and implement monitoring, logging, and alerting. - Integrate the chatbot into client intranet interfaces via APIs, backend services, and lightweight front‑end components. - Conduct large‑scale evaluation, KPI tracking, and continuous improvement of model performance. - Drive innovation in prompt engineering, distillation, guardrails, and explainability. - Serve as the client’s technical reference for Generative AI, providing guidance and best practices. Required Skills: - 5+ years of Data Science experience with significant Generative AI projects. - Proven experience delivering on‑premise Generative AI solutions and scaling to 10k+ users. - Deep expertise in RAG architectures (chunking, embeddings, hybrid retrieval, prompt design, guardrails). - Full‑stack development skills: Python, C#, JavaScript, API design, lightweight front‑end integration. - Architecture and infrastructure knowledge: GPU provisioning, orchestration, vector databases, SQL. - MLOps proficiency: CI/CD, monitoring, observability for LLMs. - Leadership and cross‑functional collaboration in complex environments. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. - Certifications in machine learning, AI, or cloud/DevOps (e.g., TensorFlow, PyTorch, Docker, Kubernetes) are a plus.