As a Machine Learning Engineer, you will be responsible for the design, development, training and testing of neural networks that are capable of classification and segmentation using one- to few- reference examples. You will be part of the Engineering team and you will work closely with the product owner and technical lead on assessing the feasibility and business viability of products in the smart devices and inspection industries, based on customer requirements. At the start of development, you will identify appropriate training data sets, suggest and implement improvements to the existing neural network models, streamline coding, training, validation and testing such that all customer needs are satisfied.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

• 3+ years of experience in building machine learning applications for computer vision
• MSc or PhD Degree in Computer Science, Engineering, Mathematics or Statistics
• Strong software skills in building complex and well-designed cloud-based AI models
• Excellent programming skills in Python
• Good knowledge of machine learning frameworks, such as TensorFlow or PyTorch
• Good mathematical skills especially in probability and statistics
• Experience with software development version control and engineering principles
• Ability to work independently
• Effective communicator of complex data and methods to experts and non-experts

PREFERRED REQUIREMENTS

• Understanding of metric- and model-based meta learning techniques
• Experience in developing and training neural networks that use generative models such as Variational Autoencoders and Generative Adversarial Networks
• Good knowledge of the techniques behind transfer learning
• Proficiency in studying performance of models with ablation studies
• Optimization of models for deployment to devices with limited compute and memory

Dergoni CV ne: [email protected]