AI Engineer Internship R4

RoleDescription:

• AI/MLModel Development:Design train and evaluate machine learning and deeplearning models for applications across automotive and digital domains.
• DataCollection & Annotation:Collect label clean andversion datasets from diverse sources including embedded sensors vehicletelemetry cloud pipelines and structured/unstructured digital data.
• Embedded &Digital AI Integration:Support the deployment andoptimization of AI models on both embedded targets (MCU/SoC) and cloud/edgeinfrastructure
• Participate in agile developmentworkflows including code reviews sprint planning and technicaldocumentation.
• Explore and prototype emerging AItechniques relevant to automotive safety digital transformation andsoftware-defined vehicle architectures.

Qualifications and Education Requirements:

• Bachelors degree in computer science Electrical Engineering or related field
• 01 year of experience (internships academic projects or training included)ready to join immediately
• Proficiency in Python andhands-on experience with PyTorch or TensorFlow/Keras
• Solid understanding of core MLconcepts: supervised/unsupervised learning model evaluation and datapipelines
• Ability to work with structuredand unstructured datasets (tabular time-series image or signal data)
• Good communication skills andability to collaborate in a cross-functional team environment

Nice-to-Have

• Familiarity with embeddedsystems C/C or real-time operating environments
• Experience with cloud platforms(AWS Azure or GCP) or edge AI frameworks (TensorRT OpenVINO ONNX Runtime)
• Exposure to digital domaintechnologies: REST APIs microservices IoT platforms or lang engineering
• Experience with MLOps tools(MLflow DVC Weights & Biases Kubeflow)
• Understanding of software-definedvehicle (SDV) concepts or vehicle-to-cloud communication

What makes us special:

• International team with a collegial working atmosphere and motivating team spirit.
• Lived culture of innovation and Regular employee events.
• Continuous internal and external training.
• Outstanding benefits health insurance multiple optional allowances and pension plans.
• Flexible working hours work from home option to ensure Work-life balance.
• An environment where you can develop and grow your skills capabilities and future.

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