Bertrandt Group

www.bertrandt.com

3 Jobs

7,322 Employees

About the Company

We are Bertrandt: an independent, international development service provider with long years of automotive expertise. We create technological solutions for our customers at any stage of the product development process with a focus on hot topics such as digitalisation, e-mobility and autonomous systems, largely for the automotive, aerospace and mechanical engineering sectors. Our goal: accelerating technological progress. We work on this every day - with around 14,500 employees at over 50 sites worldwide.

Our imprint is available through the following link: https://www.bertrandt.com/en/imprint

Our Data privacy statement is available through the following link https://www.bertrandt.com/en/data-privacy-statement

Here you can find our Social Media Guidelines
https://www.bertrandt.com/social-media/social-media-guidelines

Listed Jobs

Company Name: Bertrandt Group
Job Title: Data Scientist IA Deep Learning
Job Description: **Job Title** Data Scientist – AI Deep Learning **Role Summary** Design, develop, and maintain AI infrastructure and end‑to‑end pipelines for large‑scale language model deployments. Lead Docker‑based service integration, fine‑tune large language models, build Retrieval‑Augmented Generation (RAG) reporting systems, evaluate embedding techniques, and implement active learning workflows to support a forthcoming defense‑related delivery. **Expects** - Minimum of 3 years of proven experience in deep learning, AI infrastructure, and pipeline development. - Mandatory security clearance at the Secret Defense level. **Key Responsibilities** 1. Design and deploy scalable AI infrastructure, including Docker orchestration and containerized services. 2. Develop and maintain data pipelines for training, inference, and reporting. 3. Implement Retrieval‑Augmented Generation (RAG) pipelines to produce structured reports. 4. Fine‑tune large language models (LLMs) for a government‑level competition. 5. Prepare end‑to‑end documentation and backend processing chains for production rollout. 6. Identify, evaluate, and benchmark embedding models suitable for the domain. 7. Build and integrate active learning solutions to improve model performance iteratively. **Required Skills** - Proficiency in Docker and container orchestration. - Strong background in deep learning frameworks (PyTorch, TensorFlow). - Experience with large language models, fine‑tuning, and LLM evaluation. - Knowledge of Retrieval‑Augmented Generation (RAG) pipelines. - Ability to design data ingestion, preprocessing, and analysis pipelines. - Hands‑on experience with embeddings, similarity search, and vector databases. - Familiarity with active learning strategies and frameworks. - Familiarity with backend development and documentation standards (REST APIs, automated documentation tools). **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. - Professional certifications in AI/ML (e.g., TensorFlow Developer, PyTorch Advanced) are a plus. - Ongoing security clearance: Secret Defense, granted by the relevant national authority.

Company Name: Bertrandt Group
Job Title: Data Scientist / IA H/F
Job Description: **Job Title** Data Scientist / AI (Male/Female) **Role Summary** Apply advanced data science and artificial intelligence techniques to transform quality systems in the automotive sector. Design, develop, validate, and deploy predictive models, generative AI solutions, and business tools that analyze large, multi‑source datasets and provide actionable insights for quality management. **Expectations** • Deliver end‑to‑end AI solutions from concept to industrial deployment. • Translate complex business requirements into reproducible models and tools. • Work autonomously with a strong analytical mindset, proposing innovative, data‑driven improvements. • Communicate clearly with multidisciplinary teams, documenting solutions thoroughly. **Key Responsibilities** - Develop, deploy, and maintain machine learning and generative AI models. - Build proof‑of‑concepts, test, and validate models before production rollout. - Conduct advanced statistical analyses (Weibull, PCV, PSQ) to prioritize sustainability topics. - Integrate, clean, and quality‑check high‑volume, multi‑source data (incidents, surveys, complaints, connected vehicle data). - Create interactive dashboards and visualisation tools for quality KPI monitoring. - Write technical and functional documentation; train end‑users as needed. **Required Skills** - Expertise in statistics, probability, machine learning, and generative AI. - Proficient in Python, R, SQL; familiar with GCP and big‑data/cloud environments. - Experience with dashboarding tools (Shiny, Spotfire, Looker). - Comfortable using collaborative platforms (GitLab, Confluence, Jira). - Strong analytical thinking, self‑direction, and solution‑oriented attitude. - Fluency in English (mootspoken). **Required Education & Certifications** - Master’s or equivalent (Bac +5) in Data Science, AI, Statistics, Computer Science, or related field. - Minimum 2 years of relevant experience, preferably in automotive or industrial domains.

Company Name: Bertrandt Group
Job Title: SiL Engineer
Job Description: Job Title: SiL Engineer Role Summary: Design, configure, and validate silicon‑in‑the‑loop (SiL) environments for virtual ECUs, enabling comprehensive testing of connected car functions. Automate integration workflows, validate drive and energy systems, and support continuous integration (CI) pipeline development. Expactations: • Agile team member focused on high‑quality SiL environments. • Independent work on integration and automation tasks. • Collaboration with cross‑functional automotive engineering teams. Key Responsibilities: • Commission and integrate SiL environments for new virtual ECUs. • Setup and run simulations within SiL platforms (dSPACE VEOS, Synopsys Silver, Vector CANoe, MATLAB/Simulink). • Validate drive and energy system functionality through systematic testing. • Automate workflow processes and CI pipelines to streamline integration and verification. • Document test setups, results, and integration procedures. • Troubleshoot simulation and integration issues and propose solutions. Required Skills: • Degree in automotive or electrical engineering (or equivalent professional experience). • Proven experience with SiL or vECU integration. • Strong knowledge of vehicle topologies and automotive control units. • Familiarity with AUTOSAR concepts (advantage). • Proficiency in dSPACE VEOS, Synopsys Silver, Vector CANoe, or MATLAB/Simulink. • Scripting skills in Python. • Experience developing CI pipelines for workflow automation. • Ability to work independently and manage responsibilities. • Excellent English communication skills; German is a bonus. Required Education & Certifications: • Completed bachelor’s degree (or higher) in automotive engineering, electrical engineering, or related field.

Rabat, Morocco

On site

18-02-2026