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Description:
DroneOps is seeking a Senior/Lead Machine Learning Scientist to work remotely on advanced navigational systems for UAV operations. The focus is on developing robust solutions to enhance UAV autonomy and reliability in environments where traditional GPS may be compromised. The technology aims to be integrated across various UAV platforms, providing precision, resilience, and cost-effective enhancements to existing hardware.
Requirements:
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)
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
Benefits:
Delivering high-end software projects that address real-world problems
Surrounding experts who are ready to move forward professionally
Professional growth plan and team leader support
Taking ownership of R&D and socially significant projects
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