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5 Degrés

5 Degrés

www.5degres.com

3 Jobs

122 Employees

About the Company

5 Degrés est une agence de conseil experte en Produit digital. Afin de répondre aux enjeux de nos clients et de nos équipes, nous nous sommes organisés en 5 Practices qui couvrent l’ensemble de la chaine de création d’un produit digital : Product Management Product Design Product Development Product Quality Product Data Nos collaborateurs interviennent chez des clients de tous secteurs d’activité, à la fois en BtoB et en BtoC, afin de concevoir et faire vivre des produits digitaux durablement.

Listed Jobs

Company background Company brand
Company Name
5 Degrés
Job Title
MLOps Engineer
Job Description
**Job Title:** MLOps Engineer **Role Summary:** Design, deploy, and maintain AI/ML infrastructure for client projects, ensuring scalable, robust, and performant model serving. Collaborate within a Data Science squad to integrate generative AI and agentic frameworks, build API services, and document best practices. **Expectations:** - Minimum 5 years of professional experience as an MLOps Engineer. - Proven autonomy, rigor, and strong communication skills. - Ability to work in English on technical topics without difficulty. **Key Responsibilities:** - Architect, containerize, and orchestrate AI workloads using Docker, Kubernetes, and OpenShift. - Deploy, monitor, and maintain model serving pipelines and associated APIs. - Optimize AI infrastructure for scalability, reliability, and performance. - Implement and integrate generative AI and agentic frameworks (e.g., LangChain, Retrieval‑Augmented Generation, image generation). - Create and maintain documentation and share operational best practices across teams. **Required Skills:** - Deep expertise in containerization and orchestration (Docker, Kubernetes, OpenShift). - Strong knowledge of AI/ML lifecycle, model deployment, and monitoring. - Experience with generative AI concepts and agentic frameworks (LangChain, RAG, image generation). - Proficient in scripting/automation (Python, Bash, CI/CD tools). - Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code (Terraform, Helm). - Excellent problem‑solving abilities, self‑direction, and collaborative communication. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent professional experience). - Relevant certifications (e.g., Certified Kubernetes Administrator, Cloud Provider certifications) are a plus but not mandatory.
Toulouse, France
Hybrid
Mid level
10-11-2025
Company background Company brand
Company Name
5 Degrés
Job Title
Data analyst
Job Description
**Job title**: Data Analyst **Role Summary**: Act as a strategic data partner for digital product teams, translating raw data into actionable insights that drive product performance and decision‑making. **Expectations**: Minimum 5 years of professional experience as a Data Analyst. **Key Responsibilities** - Collaborate with business stakeholders to define, prioritize, and formalise data analysis requirements. - Design, build and maintain robust data pipelines covering collection, cleansing and modelling of data sources. - Create and configure dashboards and reports using BI tools to deliver clear, actionable information for business and management. - Conduct in‑depth data analysis to uncover user trends, optimisation levers and performance insights for digital products. - Propose and implement best‑practice data architecture improvements for clients. - Ensure data quality throughout the data lifecycle and critically evaluate data interpretations. **Required Skills** - Advanced SQL (query writing, optimisation). - Proficiency in at least one data visualisation tool (Power BI, Tableau, Qlik, MicroStrategy). - Experience with an ETL tool (Talend, SSIS, Informatica, Datastage). - Knowledge of relational databases (SQL Server, MySQL) and NoSQL systems. - Strong communication and data storytelling abilities; teamwork orientation. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Data Science or a related quantitative discipline (or equivalent professional experience). - Relevant certifications in SQL, BI platforms or ETL technologies are advantageous.
Paris, France
Hybrid
Mid level
08-12-2025