PROTECTIC

About the Company

PROTECTIC, société d’ingénierie à taille humaine, intervient depuis plus de 40 ans sur des projets d’envergure dans les secteurs de l’industrie (aéronautique, espace, défense, énergie et transports). Nos équipes accompagnent les acteurs majeurs des secteurs industriels et tertiaires sur l'ensemble du cycle de développement de leurs produits. PROTECTIC se positionne sur des activités innovantes faisant appel à des technologies de pointe La qualité de nos prestations et des relations entretenues avec nos collaborateurs est l’une des clés de notre réussite.

Listed Jobs

Company Name

PROTECTIC

Job Title

Ingénieur DevOps F/H

Job Description

**Job Title** DevOps Engineer (F/M) **Role Summary** Design, implement, and operate a resilient, scalable, and secure network‑management platform for both bare‑metal and private‑cloud environments. Define deployment and delivery processes that minimize service interruption, manage Red Hat OpenShift orchestration, backup/restore, identity & access management, monitoring, and high‑availability storage. Work closely with development teams to ensure micro‑service performance, evolvability, and reliability. **Expectations** - Define use cases, technical principles, performance targets, and observability requirements for micro‑services. - Deliver deployment strategies with near‑zero downtime. - Provide ongoing support for target environments, especially air‑gap installations. - Maintain high standards of service quality, reliability, and security while collaborating effectively in a demanding technical team. **Key Responsibilities** - Architect and deploy a resilient, scalable network‑management solution for bare‑metal and private‑cloud. - Establish client delivery and deployment methods and a minimal‑interruption rollout strategy. - Secure and manage Red Hat platforms for container orchestration (OpenShift). - Design and implement full backup and restore processes. - Deploy identity, authentication, and authorization solutions. - Integrate monitoring, logging, telemetry, and user alerting tools. - Collaborate with development teams to ensure micro‑service performance, evolvability, and resilience. - Implement high‑availability storage to guarantee business continuity and data security. - Document solution specifications, requirements, and associated use cases. **Required Skills** - Proven expertise in real‑time data replication for critical environments. - Strong knowledge of micro‑service architectures and Red Hat OpenShift. - Experience securing production platforms and operating in air‑gap (no‑Internet) deployments. - Proficiency with cloud‑native, micro‑service‑based architectures. - Skills in backup/restore, identity & access management, monitoring/logging, and high‑availability storage solutions. - Solid background in Linux solution deployment (5‑7 years). - Autonomous, rigorous, collaborative, and quality‑focused mindset. **Required Education & Certifications** - Master's degree (Bac+5) in Engineering or equivalent. - Minimum 5–7 years of experience deploying Linux‑based solutions in complex, production environments.

Bièvres, France

On site

22-09-2025

Company Name

PROTECTIC

Job Title

Data Scientist/ IA

Job Description

Job Title: Data Scientist – Generative AI Role Summary: Lead the design, evaluation, and deployment of Generative AI solutions to address strategic business challenges. Conduct exploratory data analyses, develop and refine prompts, benchmark models, and optimize performance through parameter tuning and deployment of guardrails. Expectations: - Deliver measurable proof‑of‑concepts demonstrating the business value of Generative AI. - Maintain high standards of model reliability, safety, and compliance. - Collaborate with cross‑functional teams to translate business requirements into technical workflows. Key Responsibilities: - Evaluate business problems and define appropriate Generative AI use cases. - Perform exploratory data analysis and visualisation to uncover insights and inform model selection. - Engineer prompts and context frameworks for target applications. - Construct complex workflows (e.g., Retrieval‑Augmented Generation, tool‑calling, multi‑component pipelines). - Implement guardrails to secure and control model outputs. - Benchmark candidate models using specialized evaluation metrics and tools. - Fine‑tune and optimise models, adjusting hyperparameters and deployment settings. - Develop and expose APIs (Python) for model integration with business processes. - Produce documentation, dashboards (Streamlit), and notebooks to share results with stakeholders. Required Skills: - Expertise in Generative AI: prompt engineering, context engineering, RAG, tool‑calling, multi‑component pipelines. - Strong background in Machine Learning / Deep Learning (data exploration, model evaluation, API development). - Proficiency in Python, SQL, Pandas, NumPy, Scikit‑learn, Jupyter, Streamlit. - Experience with TensorFlow, PyTorch, or other distributed ML frameworks. - Knowledge of security best practices for AI outputs and implementation of guardrails. Required Education & Certifications: - 5‑year degree equivalent (Bac+5) in Engineering, Computer Science, Data Science, or related field. - Minimum 3 years of professional experience in Generative AI or advanced ML. - No specific certifications required.

Nantes, France

On site

17-10-2025

Company Name

PROTECTIC

Job Title

Data Scientist/ IA F/H

Job Description

**Job Title** Data Scientist – Generative AI (F/M) **Role Summary** Execute end‑to‑end generative AI projects, translating business challenges into AI solutions. Conduct data exploration, prompt and context engineering, model benchmarking, and optimization to prove and enhance business value. **Expectations** - Deliver demonstrable business value through generative AI methods. - Maintain high‑quality, secure AI outputs with guardrails. - Produce well‑documented, reproducible workflows and APIs. - Communicate technical findings to non‑technical stakeholders. **Key Responsibilities** - Evaluate business problems and showcase generative AI potential via exploratory data analysis. - Design and implement prompt engineering and context engineering strategies for specific use cases. - Build and fine‑tune retrieval‑augmented generation (RAG), tool‑calling, and multi‑component pipelines. - Develop guardrails to ensure safe and compliant generation. - Benchmark models using dedicated evaluation tools. - Optimize model performance through parameter tuning and configuration adjustments. - Develop and expose Python APIs for model consumption. - Produce end‑to‑end reproducible workflows in Jupyter Notebook or Streamlit. **Required Skills** - Strong expertise in generative AI: prompt engineering, context engineering, RAG, tool calling, multi‑component pipelines. - Deep learning & machine learning: data exploration, model evaluation, model training, and deployment. - Programming: Python, SQL; libraries: Pandas, NumPy, Scikit‑learn. - Frameworks: TensorFlow, PyTorch, or equivalent distributed ML frameworks. - Development tools: Jupyter Notebook, Streamlit. **Required Education & Certifications** - Master’s degree (Bac+5) in Engineering, Computer Science, or related field. - Minimum 3 years of professional experience in generative AI / machine learning domain. ---

Nantes, France

On site

17-10-2025

Company Name

PROTECTIC

Job Title

Ingenieur Full Stack F/H

Job Description

Bièvres, France

On site

22-10-2025