... Experience in modelling simulation and Programming in engineering software (Matlab Simulink targetlink stateflow m-scripting python) 4-6 years of experience in SW development Experience in Embedded C and functional development Knowledge in communication protocols eg: CAN LIN UDS J1939 Experience in Logging and Fault handling for ...
... analytical questions and model governance matters - Provide leadership, mentoring, and guidance to team members About the team Our Credit Strategy and Standards – Modelling and Quantitative Analytics / Design and Analytics team is responsible for the development and maintenance of credit rating models used in the rating process. ...
... implement complex control logic using Stateflow & https://jobeax.com/link/KbUz5xCZbNWgYsxP & Scripting: Develop custom MATLAB M-scripts and tools to automate modeling tasks, data analysis, and report https://jobeax.com/link/4LfKC5OGow6Kdi3T & Validation: Lead Model-Based Testing (MBT) efforts, including Test Sequence creation ...
... Description Responsible for developing functional software for Steering Platform which caters to a wide OEM customer group. Technical Skills: Experienced in Model-based Application software development in compliance with ASPICE and ISO26262(Functional Safety) requirements. Design Models based on MBSD best practices and ...
... processes, dashboards, reporting, and CI signals for faster and safer releases. - Mentor other engineers on automation best practices, debugging, and quality engineering principles. What skills and experience should you bring Ideal candidates will have: - 5+ years of experience in test automation / automation development. ...
... develop machine learning models and automated pipelines to optimize product quality, defect detection, and operational efficiency. Key Responsibilities :- AI/ML Model Development : Design, train, and deploy machine learning and statistical models for automotive quality control, predictive analytics, and anomaly detection.- ...
... operationalize LLM training approaches and build a reliable model improvement lifecycle: Data Preparation - Training - Evaluation - Benchmarking - Error Analysis - Model https://jobeax.com/link/DSIzEdlSdYYY1NeN role combines hands-on LLM fine-tuning, dataset engineering, tokenization, evaluation framework development and model ...