Are you ready to join an ambitious team and help shape the future of senior care technology? We’d love to hear from you!
A Senior AI – Computer Vision, Audio Processing, and Deep Learning Engineer (M/V/X) for a European tech scale-up in AgeTech with a clear social mission and international ambitions.
Who we are
Our client is a fast-growing Belgian AgeTech scale-up on a mission to help senior citizens enjoy life with peace of mind. They design innovative solutions that detect risks such as falls and help prevent them. And that’s just the beginning—future application possibilities are endless.
They are growing together with their customers, providing them with technology to live with independence and dignity, whether at home, in assisted living, or in nursing facilities. With bold ambitions for the future, they are looking for passionate professionals to help make it happen.
Be part of the future
Our client is looking for a full-time, experienced Senior AI Specialist to contribute to the development of cutting-edge computer vision and audio processing applications using deep learning techniques. You will play a key role in shaping AI capabilities, ensuring scalability and efficiency, and bringing innovative ideas to life. You will collaborate with internal experts and external partners.
Your responsibilities
- Develop and optimize AI models for computer vision and audio processing applications.
- Work with image processing, data pre-processing, and feature extraction techniques.
- Train, evaluate, and fine-tune deep learning models using frameworks such as TensorFlow and PyTorch.
- Implement and optimize models for deployment on edge devices.
- Collaborate with AI colleagues and the engineering team to integrate models into production systems.
- Contribute to the full machine learning life cycle, from exploratory analysis to deployment and monitoring.
- Stay up to date with the latest advancements in AI and propose innovative solutions.
You for our client
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience (7+ years) in AI, deep learning, and machine learning.
- Strong expertise in computer vision (e.g., object detection, image segmentation) and image processing.
- Solid background in audio processing techniques and relevant libraries (e.g., Librosa, SciPy).
- Proficiency in frameworks such as TensorFlow and PyTorch.
- Hands-on experience with data pre-processing, feature extraction, and model optimization.
- Experience with edge computing and deployment (e.g., TensorFlow Lite, ONNX Runtime).
- Strong problem-solving skills and ability to work independently or collaboratively.
- Excellent communication skills, both written and verbal.
- Commitment to discretion and confidentiality regarding project specifics.
Nice to have:
- Experience with LLMs (Large Language Models).
- Publications or projects demonstrating expertise in computer vision, audio processing, or deep learning.
- Knowledge of MLOps frameworks and best practices for model monitoring.
- Experience with action recognition and autoencoders.
- Experience with Quantized Aware Training in PyTorch and quantization for edge devices.
What’s in it for you
- Be part of an ambitious scale-up with strong backing and an excellent company culture.
- Work in a dynamic, fast-growing team.
- Autonomy and open communication.
- The opportunity to contribute to growth and grow with the company.
- Social commitment—work on technology that positively impacts lives.
- Flexible hours and remote work possibilities.
- Above-average salary package.