Description of the assignment The consultant will support AI prototyping and early-phase feasibility assessments for next-generation vehicle systems. The role focuses on turning ideas into prototypes, validating technical viability, and assessing measurable value compared to existing solutions.

Key responsibilities include: * Working with domain experts (vehicle dynamics, energy management, intelligent cockpit) to identify problems where AI can create value * Building and testing early prototypes using real or simulated data * Defining and evaluating KPIs such as efficiency improvements, performance gains, robustness, and cost/complexity reduction * Benchmarking results against baseline and state-of-the-art approaches * Supporting feasibility assessments (data availability, compute/latency constraints, integration complexity) * Documenting findings and contributing to go/no-go decisions * Contributing to reusable tools, experiment setups, and prototype frameworks Qualifications and skills required for the role * Degree in AI, Computer Science, Robotics, Engineering, or similar * 0-3 years of experience (including thesis/projects) * Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or Keras) * Solid understanding of ML fundamentals, evaluation metrics, overfitting control, and experiment structure * Hands-on experience or exposure to computer vision, pattern recognition, or deep learning * Ability to structure open-ended problems and learn quickly * Good collaboration skills with domain experts * Portfolio, GitHub, thesis, or prototype work is highly valued IT/SW requirements (if applicable) Python; PyTorch / TensorFlow / Keras; Pandas, NumPy, Jupyter notebooks; MLflow, Git, Docker, CI/CD (basic level); Optional: LangChain, Dify, vLLM, LLaMA-based tooling; Domain tools depending on use case (simulation, vehicle data)



Personal attributes

Curious and fast-learning

Analytical and structured

Comfortable working with open-ended, exploratory problems

Collaborative and communicative Value-driven mindset focused on feasibility and measurable impact

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