Senior AI Specialist at NOBI

Antwerp, Antwerp, Belgium -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Audio Processing, Deep Learning, TensorFlow, PyTorch, Image Processing, Data Pre-Processing, Feature Extraction, Model Optimization, Edge Computing, Model Deployment, Problem-Solving, Communication Skills, Discretion, Confidentiality

Industry

Computers and Electronics Manufacturing

Description

A Senior AI Specialist - Computer Vision, Audio Processing, and Deep Learning (M/V/X) for a European tech scale-up with a clear social mission and international ambitions. Who we are: Meet Nobi, a fast-growing Belgian agetech scale-up on a mission to help senior citizens enjoy life with peace of mind. Our smart light detects falls and helps prevent them. But that’s just the beginning; future application possibilities are endless. We are keen on growing together with our customers and provide them with the technology they need to live in happiness, independence & dignity wherever they prefer: at home, in assisted living or in a nursing home. We have bold ambitions for the future and perhaps that’s where you come in? Be part of the future: Nobi is looking for a full-time, experienced Senior AI Specialist to join our team and 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 our AI capabilities, ensuring scalability and efficiency, and bringing innovative ideas to life. You will collaborate with your fellow AI Specialist and with 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 your fellow AI Specialist and the engineering team to integrate AI models into production systems. Contribute to the full machine learning life cycle, from exploratory analysis to modeling, deployment, and monitoring. Stay up to date with the latest advancements in AI and propose innovative solutions. You for Nobi: 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 deep learning frameworks such as TensorFlow and PyTorch. Hands-on experience with data pre-processing, feature extraction, and model optimization. Experience with edge computing and model deployment (e.g., TensorFlow Lite, ONNX Runtime). Strong problem-solving skills and ability to work independently or as part of a team. Excellent communication skills, both written and verbal. Commitment to maintaining 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. Nobi for you: Be part of an ambitious scale-up with a strong shareholding and an excellent company culture. Work in a dynamic, fast-growing team. Autonomy and open communication. The opportunity to contribute to our growth and grow together with us. Social commitment—work on technology that positively impacts lives. Flexible hours and remote work possibilities. Above-average salary package.

Responsibilities

Develop and optimize AI models for computer vision and audio processing applications. Collaborate with the engineering team to integrate AI models into production systems.