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.