About The Position

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.

Requirements

  • Degree in AI, Computer Science, Robotics, Engineering, or similar
  • 1–3 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, over fitting 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
  • Python
  • PyTorch / TensorFlow / Keras
  • Pandas, NumPy, Jupyter notebooks
  • MLflow, Git, Docker, CI/CD (basic level)

Nice To Haves

  • Optional: LangChain, Dify, vLLM, LLaMA-based tooling
  • Domain tools depending on use case (simulation, vehicle data)
  • International experience
  • Visually communicative
  • Tons of Passion
  • 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

Responsibilities

  • Working with domain experts (vehicle dynamics, energy management, intelligent drive) 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

Benefits

  • Work in many different industries for different customers
  • Work with incredibly smart and dedicated colleagues
  • Develop products and services that you can brag about to your friends
  • Opportunity to realize your dreams, big and small
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