Deep Learning Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Ramblr is seeking a Deep Learning Engineer to deploy and maintain state-of-the-art AI models, improving the deep learning stack.
📋 What You'll Likely Do
40%: Write efficient, parallelized code to improve and extend the deep learning stack.
30%: Improve the platform for efficient model training and deployment.
30%: Build and optimize parts of the model stack, integrating them into the overall pipeline.
🧑💻 Profiles Doing This Job
High Priority: Proficiency in Python-based collaborative software engineering.
High Priority: Experience with neural network architectures (Transformer / CNNs), model optimization, and PyTorch.
High Priority: M.Sc./Ph.D. in computer science, physics, or mathematics with a focus on computer vision or machine learning.
📈 How This Role Will Look on Your CV
Deployed and maintained state-of-the-art AI models in an industrial-grade video understanding platform.