Description

In this role, you will:

  • Focus on model research, development and tuning
  • Design, evaluate and select the ML models and underlying software architecture to be used in the next-generation automotive infotainment middleware
  • Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
  • Select and tune the best ML models and incorporating them in the wider automotive infotainment middleware software architecture
  • Design training protocols together with the prompt engineering and model training experts 
  • Continuously improve software stack reflecting advancements in the field of ML

What you will need to succeed:

  • Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing
  • Experience with state-of-the-art Transformer architectures (BERT, GPT-3, T5) and state-of-the-art LLMs (Gemini, GPT-4, Llama3, Mistral)
  • Deep knowledge and experience in model training, model fine-tuning, evaluation of model performance and identifying areas for improvement
  • Strong foundation of machine learning concepts and technologies
  • Proficient knowledge of Python, C/C++, PyTorch, TensoFlow, Kerns
  • Good written and verbal English communication skills

Education

Any Graduate