Senior Computer Vision/Deep Learning Engineer

Key Skills

Algorithms, C Programming, C++, Computer Vision (CV), Deep Learning, Effective communication skills, English Proficiency, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

We are seeking a skilled Senior Engineer specialized in Computer Vision & Deep Learning Algorithms who can lead the end-to-end development of innovative products. You will drive the enhancement of a wide range of algorithmic solutions utilizing Machine and Deep Learning techniques.

This is what you will be responsible for:

• Collaborating closely with teammates to shape company products
• Work on new products for the automotive inspection
• Creating state-of-the-art and efficient Machine Learning/Deep Learning algorithms to tackle challenges in Computer Vision
• Assessing and comparing various algorithms using exclusive datasets

Minimum requirements:

• English language proficiency, since all of the communications are carried out in English
• A minimum of 5 years of industry experience in developing and commercializing Deep Learning Algorithms
• Practical expertise in solving Computer Vision problems related to Detection, Classification, and Segmentation
• Proficiency in Python for development purposes
• Experience working with major Deep Learning Frameworks like PyTorch, TensorFlow, etc
• Comfortable exploring uncharted territories; self-motivated and independent, yet a team player

Would be a strong plus:

• Strong computer vision experience
• Experience in areas such as Identification, Image Retrieval, Tracking, Anomaly Detection, Image Registration, Pose Estimation
• Proficiency in C/C++ for development

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Paid vacation days, sick leaves, and days off
• Healthcare & Sport program
• Medical insurance
• Memorable anniversary presents
• Corporate events and team buildings.