Deep Learning Engineer

Responsibilities:

We are seeking a highly skilled and motivated Deep Learning Engineer with expertise in Java and OpenSource technologies to join our company specializing in Drone making. As a Deep Learning Engineer, your primary responsibility will be to optimize visual input for our drone systems using cutting-edge deep learning algorithms and techniques. You will play a crucial role in enhancing the drone’s visual perception capabilities and enabling advanced functionalities for various applications.

• Develop and implement deep learning models and algorithms to optimize visual input for our drone systems.
• Collaborate with cross-functional teams to understand and define the requirements for visual input optimization.
• Research and explore state-of-the-art deep learning techniques and methodologies to improve visual perception and object recognition capabilities.
• Utilize Java and OpenSource frameworks to build robust and scalable deep learning solutions.
• Train, validate, and fine-tune deep learning models using large datasets to ensure optimal performance.
• Optimize deep learning algorithms for real-time processing of visual data from drone sensors.
• Conduct experiments and perform evaluations to assess the performance and accuracy of developed models.
• Stay up-to-date with the latest advancements in deep learning, computer vision, and related fields, and integrate new technologies and methodologies into the development process.
• Collaborate with software engineering teams to integrate deep learning models into our drone systems and ensure seamless operation.
• Document research findings, methodologies, and experiments for knowledge sharing and future reference.

• Strong proficiency in Java programming language and experience with OpenSource frameworks.
• Solid understanding of deep learning algorithms, architectures (CNN, RNN, etc.), and optimization techniques.
• Experience with quantum servers.
• Hands-on experience with deep learning libraries such as TensorFlow, PyTorch, or Keras.
• Knowledge of computer vision concepts, including object detection, segmentation, and tracking.
• Familiarity with image and video processing techniques.
• Experience working with large datasets (quantified by petabytes) and designing efficient data pipelines for training deep learning models.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience (>7 years) working as a Deep Learning Engineer or similar role, with a focus on computer vision and visual input optimization.
• Strong problem-solving skills and ability to analyze complex visual data and develop innovative solutions.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Experience with building enterprise solutions.
• Self-motivated and proactive attitude towards learning and keeping up with the latest research and industry trends in deep learning.

• Competitive salary
• Flexible working hours
• Constantly promote and learning environment