About

We are a young and multicultural technology firm operating in a wide range of digital-related fields. Our engineers are dedicated to solving digital needs in order to help fuel business growth. For a state-of-the-art project in the smart city, we are looking for a Machine Learning Engineer to develop event detection and prediction software based on video data.

Requirements

Postgraduate or Ph.D Background in engineering, computer engineering, computer science,mathematics, statistics or equivalent
Strong technical knowledge in Machine Learning and Image Processing
Good undresting of Neural Networks, Transferable Learning, ...
Practical knowledge in object detection algorithms such as YOLO and Mask R-CNN
Hands-on experience with at least one of the deep learning frameworks (TensorFlow, Keras, Torch, Caffe, MxNet)
Strong programming experience in Python, Jupyter Notebook and related tools/libraries
Team player with the desire to work in a cross functional/international team
Ability to communicate technical concepts effectively in English

Tasks

Enhancing data collection procedures by processing, cleansing and verifying the integrity of data
Working with state-of-the art machine learning algorithms, and building production-ready Object Detection / Event Recognition models
Assessing the maturity, viability and suitability of different AI research and technologies
A part a team, Contributing in providing technical solutions for various Computer Vision projects

Your perspective

Become part of a growing and agile company and design your own working environment
High learning curve through conceptually and strategically demanding project work
Outstanding degree of personal responsibility in an entrepreneurial environment

Get in Touch

If that sounds just like you, then simply apply with your CV at info@gegidze.com ! In a second step, we would like to get a first impression of you in a 15-minute call to get to know you, so that you can completely convince us of you in an interview afterwards! We are looking forward to your application!

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