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AI Prototype Engineer / AI Feasibility Consultant
Assignment Overview
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
Mandatory
Assignment Overview
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
- Work closely with domain experts in Vehicle Dynamics, Energy Management, and Intelligent Drive to identify opportunities where AI can create value.
- Build and test early-stage AI prototypes using real-world or simulated data.
- Define, monitor, and evaluate key performance indicators (KPIs), including:
- Efficiency improvements
- Performance gains
- Robustness
- Cost and complexity reduction
- Benchmark prototype results against baseline methods and state-of-the-art approaches.
- Support feasibility assessments covering:
- Data availability
- Compute and latency constraints
- Integration complexity
- Document findings and provide input for go/no-go decisions.
- Contribute to reusable tools, experiment setups, and prototype frameworks.
- Degree in AI, Computer Science, Robotics, Engineering, or a related field.
- 0–3 years of relevant experience, including thesis work, academic projects, or internships.
- Strong programming skills in Python.
- Experience with Machine Learning frameworks such as:
- PyTorch
- TensorFlow
- Keras
- Solid understanding of:
- Machine Learning fundamentals
- Evaluation metrics
- Overfitting control techniques
- Experiment design and structure
- Hands-on experience or exposure to:
- Computer Vision
- Pattern Recognition
- Deep Learning
- Ability to structure open-ended problems and learn new concepts quickly.
- Strong collaboration and communication skills when working with domain experts.
- Portfolio, GitHub projects, thesis work, or prototype development experience is highly valued.
- Curious and fast-learning.
- Analytical and structured approach to problem-solving.
- Comfortable working with exploratory and open-ended challenges.
- Collaborative and communicative.
- Value-driven mindset focused on feasibility and measurable impact.
Mandatory
- Python
- PyTorch / TensorFlow / Keras
- Pandas
- NumPy
- Jupyter Notebooks
- Git
- Docker
- MLflow
- Basic CI/CD knowledge
- LangChain
- Dify
- vLLM
- LLaMA-based tooling
- Domain-specific tools depending on the use case (simulation environments, vehicle data tools, etc.)
Key Skills
Ranked by relevance
ai
prototypes
machine learning
prototyping
simulation
tensorflow
cicd
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- Posted
- Jun 17, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Gothenburg
- Company
- Aurora Engineering AB
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Motion Machine Learning Engineer
2026-03-13
Full-time
Not Applicable
Sweden
IT Services
Engineering
View Job Details
Related
Software Engineer (Full Stack .NET – Robotics)
2026-05-01
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IT Services
Engineering
View Job Details
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Android Infotainment Developer(AOSP)
2026-04-24
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