Job Description:
We are looking for a versatile engineer with skills in developing, benchmarking and validating a variety of deep learning models, with a focus on achieving F1 and mAP performance targets. The main area of work will include Temporal and Computer Vision models.
Working as a Senior Deep Learning Engineer, you will be a key figure in our team, responsible for conducting advanced research and developing innovative algorithms. Your main goal will be to continually expand the boundaries of artificial intelligence capabilities and its practical application in the context of marketing and data analysis. You will have the opportunity to work on projects that have a real impact on our strategies, which makes this role extremely exciting and responsible. Your team will strive to understand how AI can support our operations, and how to leverage the latest technologies to achieve even better results.
Responsibilities:
- Design and development of innovative deep neural network architectures
- Develop machine learning algorithms using various software frameworks (Keras, TensorFlow, PyTorch) and deploy them on a variety of hardware platforms
- Create training and test pipelines to evaluate architecture performance in relevant image processing tasks
- Keeping abreast of the latest deep learning research to implement new techniques into our networks and pipelines
Preferred Qualifications:
- Python
- Machine learning
- TensorFlow
- Keras
- PyTorch
- OpenCv
- Computer Vision
- SQL
- English (C1)
- Master's or doctoral degree in computer science, electrical engineering or a related field with outstanding academic performance
- Startup mentality, teamwork skills and strong work ethic.
- Publications in peer-reviewed scientific journals are a major asset
- Over 6 years of experience working with deep learning in an enterprise environment
- Extensive experience in CNN training
- Experience in developing professional DL and CV based applications