Deep Learning Engineer

Assignment Description

We are currently looking for an expert in deep learning for an exciting consulting assignment with our client, a leading company within AI and autonomous driving. In this role, you will work at the forefront of developing next-generation systems for self-driving vehicles, with direct impact on safety in real-world traffic environments.

In this assignment, you will work with end-to-end learning for autonomous vehicles, focusing on designing, training, and optimizing spatio-temporal neural networks. You will work across the entire pipeline — from data processing and model training to integration into production systems.

You will be part of a cross-functional team consisting of experts in perception, planning, and software development, working together to develop AI models capable of making safety-critical decisions in real time.

Responsibilities

• Develop and optimize deep learning models for end-to-end driving
• Build scalable pipelines for data processing and model training
• Experiment with advanced architectures such as transformers and recurrent neural networks
• Work closely with other teams to implement and deploy models into real-world systems
• Contribute to the development of production-ready AI solutions in real-time environments

Requirements

• Deep expertise in spatio-temporal neural networks
• Strong background in deep learning, software development, and data engineering
• Very strong knowledge of Python and experience with TensorFlow or PyTorch
• Good understanding of statistics and geometry
• Experience working with complex production systems

Meritorious

• Experience with transformers, RNNs, and multi-head attention
• Experience with autonomous systems or self-driving vehicles
• Experience with real-time systems and safety-critical applications