Job Description
Responsibilities
- Training and maintaining Computer Vision models;
- Curating and managing image and video datasets;
- Improving the existing CV services;
- Active participation in data collection and annotation alongside the team of data annotators;
- Collaborating with the Moderation team to detect violations on both images and live broadcasts;
- Doing CV research to boost our product features technologically.
- Experience as a Computer Vision Engineer for 3+ years;
- Strong proficiency in Python and PyTorch;
- Experience in developing CV applications and conducting experiments for classification, detection, and key points estimation tasks;
- Experience with data versioning;
- Experience with TensorRT;
- Experience with Docker.
- Experience with face detection and recognition;
- Experience with multimodal models (CLIP etc.);
- Experience with self-supervised learning;
- Experience with highly-imbalanced tasks;
- Experience with active learning.
- The equipped office in the center of the city;
- A steep springboard for personal and professional growth;
- Employment contract under EU law, fully white salary, work visa for 3 years, company support in obtaining work visas for family members;
- Full relocation package (tickets to Limassol for you and your family, apartments for the first month at our expense);
- Developing your professional competencies through courses and/or conferences;
- Language courses, mindfulness webinars, corporate discounts on Coursera and other platforms, corporate incentive programs;
- Free catering in the office, and a free cafeteria with a health bar;
- Medical insurance for the whole family, mobile package, support with the purchase of a car, and covering of school/kindergartens expenses;
- Modern MacBook;
- The possibility of self-realization, and the possibility to influence technical decisions making;
- Big friendly community, IT international teams, corporate events, team buildings, and hackathons.
- HR interview (1 hour);
- Technical interview (1,5 hour);
- Final interview (1 hour).