Senior/Lead Machine Learning scientist in DroneOps LTD

1 липня 2024 бронювання

Senior/Lead Machine Learning scientist

Київ, віддалено

DroneOps specialises in advanced navigational systems for UAV operations. Our focus is on developing robust solutions that enhance UAV autonomy and reliability, facilitating operations in environments where traditional GPS may be compromised. Our technology is designed to be integrated across a range of UAV platforms, delivering precision, resilience, and cost-effective enhancements to existing hardware.

MUST HAVE SKILLS:

• 4+ years of commercial experience as a Machine Learning Scientist
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• Strong experience with Machine Learning
• Expertise in areas of Computer Vision
• Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• At least an Upper-Intermediate level of English (spoken and written)

NICE TO HAVE SKILLS:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Experience with computer vision systems.
• Experience with edge AI hardware and embedded systems.

YOUR TASKS WILL INCLUDE:

• Full-cycle data science projects
• Data analysis and dataset preparation
• Development of state-of-the-art ML models for computer vision and their deployment on embedded platform.
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

WE OFFER:

• Developing best-in-class machine learning algorithm that addresses UAV navigation
• World-class experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days