Aramis Group

www.aramis.group

3 Jobs

70 Employees

About the Company

Aramis Group is the European leader for B2C online used car sales and operates in six countries.

A fast-growing group, an e-commerce expert and a vehicle refurbishing pioneer, Aramis Group takes action each day for more sustainable mobility with an offering that is part of the circular economy.

Founded in 2001, it has been revolutionizing its market for over 20 years, focused on ensuring the satisfaction of its customers, and capitalizing on digital technology and employee engagement to create value for all its stakeholders.

With annual revenues over €2 billion, Aramis Group sells more than 110,000 vehicles B2C and welcomes more than 70 million visitors across all its digital platforms each year. The Group employs more than 2,500 people and has eight industrial-scale refurbishing centers throughout Europe.

Aramis Group is listed on Euronext Paris Compartment B (Ticker: ARAMI – ISIN: FR0014003U94). For more information, visit www.aramis.group.

Listed Jobs

Company Name: Aramis Group
Job Title: Machine Learning Generative AI Engineer - Arcueil - Internship 6 month F/H
Job Description: **Job title** Machine Learning Generative AI Engineer – Internship (6 months) **Role Summary** Join the Data team to design, develop, and productionize Generative AI solutions, including large‑language‑model (LLM) based virtual agents that assist customers in selecting suitable used vehicles. Work under a senior ML Engineer and collaborate across Data, Tech, and Business units. **Expactations** - Demonstrate autonomy, rigor, and attention to detail. - Show strong curiosity for Generative AI, LLMs, and emerging AI architectures. - Proactively learn, experiment, and contribute to team knowledge sharing. - Communicate effectively with cross‑functional stakeholders. **Key Responsibilities** - Conduct literature reviews on state‑of‑the‑art AI agents and architectures. - Develop and prototype Generative AI solutions (LLM integration, autonomous agents, orchestration). - Industrialize models and deploy them on a 100 % cloud AWS environment. - Collaborate with business teams to define useful agent functionalities. - Test, evaluate, and continuously improve model performance. - Document code, pipelines, and deployment procedures; support hand‑over to production teams. **Required Skills** - Proficient in Python (e.g., LangChain, Scikit‑learn, Pandas, XGBoost, Joblib). - Solid understanding of Machine Learning and Deep Learning fundamentals. - Experience with SQL and Snowflake; familiarity with DBT and Metabase a plus. - Knowledge of cloud services (AWS S3, EC2, Lambda) and micro‑service architectures. - Exposure to multi‑cloud LLM APIs (OpenAI, Azure AI, GCP, AWS). - Strong problem‑solving, analytical, and teamwork abilities. **Required Education & Certifications** - Currently enrolled in an Engineering school or university program focused on Data Science, Computer Science, or a related field. - No specific certifications required; coursework or projects in ML/DL and AI are expected.

Arcueil, France

On site

17-12-2025

Company Name: Aramis Group
Job Title: DevOps Manager
Job Description: **Job Title:** DevOps Manager **Role Summary:** Lead DevOps team and technology infrastructure strategy for a fast-growing tech company in the automotive industry. Focus on cloud architecture optimization, tool implementation, and fostering cross-team collaboration. **Expectations:** - Manage and scale DevOps practices across development teams. - Optimize cloud infrastructure for cost-efficiency and high availability. - Drive adoption of DevOps tools and methodologies organization-wide. **Key Responsibilities:** - Overseer DevOps team operations and vendor relationships. - Design and refine cloud architecture (AWS) to maximize performance and cost-efficiency. - Implement and maintain CI/CD pipelines, infrastructure-as-code (Terraform, Ansible), and containerization (Docker, Kubernetes). - Monitor and ensure 24/7 uptime of cloud-based services. **Required Skills:** - Proficiency in Linux OS administration. - Infrastructure-as-code tools (Terraform, Ansible). - Containerization technologies (Docker, Kubernetes, Helm). - Cloud platforms (AWS RDS, MySQL, MariaDB). - CI/CD tools (CircleCI, GitHub). - Message brokers (RabbitMQ). - Monitoring/collaboration tools (Cloudflare, PrismaCloud, Grafana). - Fluent English for cross-border collaboration. **Required Education & Certifications:** - Not specified.

Arcueil, France

Hybrid

23-02-2026

Company Name: Aramis Group
Job Title: Stragegy and M&A Analyst intern (F/H) - Arcueil - Internship (6 month - starting July)
Job Description: **Job title**: Strategy and M&A Analyst Intern **Role Summary**: Six‑month internship within the Strategy and International Development team to drive growth initiatives, focusing on competitive intelligence, market analysis, and support for M&A opportunities, including target screening, business plan analysis, and investor documentation. **Expectations**: Current Master (M1/M2) student in business, engineering, finance, or economics. Fluent in written and spoken English; German language skills are a plus. Strong analytical mindset, proactive, critical thinker, excellent interpersonal communication, and mastery of Excel and PowerPoint. Able to work independently under guidance. **Key Responsibilities**: - Conduct competitive intelligence and market trend analysis. - Monitor key sector players, business models, and product/service evolution. - Support the team on international growth topics: M&A target screening, business plan evaluation, investor paperwork review, and strategic advisory. - Execute ad‑hoc analyses and benchmarking studies. - Prepare concise reports, presentations, and data visualizations for senior stakeholders. **Required Skills**: - Advanced Excel (pivot tables, advanced formulas, data modeling). - PowerPoint (slide design, storytelling). - Analytical reasoning and quantitative modeling. - Strong written and verbal communication. - Team collaboration and stakeholder management. - Familiarity with corporate finance concepts and M&A fundamentals. - Digital literacy and data interpretation. **Required Education & Certifications**: - Enrolled in a postgraduate business or engineering program (M1/M2 level). - No specific certifications required; knowledge of finance, strategy, or data analytics is advantageous.