> Markdown version of [/jobs/ext/2723556-ml-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2723556-ml-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML (Machine Learning) engineer - **Company:** Otiv - **Location:** Belgium - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Big Data, Nvidia CUDA, Computer Engineering, Python (Programming Language), Object Detection, Pytorch, ONNX (Open Neural Network Exchange) Format, TensorRT, Software Coding - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/machine-learning-engineer-otiv-9008053 ## About the Role You are experienced in end-to-end neural networks for vision based applications: you know how to train, finetune, scale and deploy them. * Master/PhD in computer engineering, AI or equivalent * Strong coding skills in Python * Proven ability to train and validate neural networks in Pytorch (using ONNX) * Experience in handling and maintaining large datasets * Experience in solving computer vision problems * Knowledge of CUDA and/or TensorRT * Fluent in English and knowledge of any other European language is a plus. ## Description As an experienced ML (Machine Learning) engineer, you will research, train, and validate neural networks operating on camera images and/or 3D point clouds. You will contribute to the main AI component of ADAS (Advanced Driver Assistance Systems) and self-driving systems. Since these models are trained on OTIV's own dataset, you will be responsible for maintaining the datasets used for training and validating models. You will work on a combination of end-to-end multi input neural networks and single data source neural networks. Tasks and responsibilities * Research & selection of neural networks for a variety of tasks: object detection, rail detection, etc.. * Training & validation of the selected models * Create, organize and take ownership of datasets used for training and validation * Deploy AI models on edge devices * Supervise third party annotation teams * Closely collaborate with data engineers and robotics engineers ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)