Deep Learning Engineer [A-M]

This is a remote position.

Our client is an educational institution in Southeast Asia offering students a long term learning path, who is searching for experienced talent to joint their firm

• Develop and deploy deep learning models and algorithms to optimize the visual input for drone systems.
• Collaborate with teams from different departments to understand and define the requirements for optimising visual input.
• Conduct research and explore cutting-edge deep learning techniques and methodologies to enhance visual perception and object recognition capabilities.
• Utilize Java and OpenSource frameworks to construct robust and scalable deep learning solutions.
• Train, validate, and fine-tune deep learning models using extensive datasets to ensure optimal performance.
• Optimize deep learning algorithms to process visual data from drone sensors in real-time.
• Perform experiments and evaluations to assess the accuracy and performance of the developed models.
• Stay updated 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 drone systems seamlessly.
• Document research findings, methodologies, and experiments for knowledge sharing and future reference.

Requirements Technical Skills:

• Proficient in Java programming language and experience with OpenSource frameworks.
• Strong understanding of deep learning algorithms, architectures (CNN, RNN, etc.), and optimization techniques.
• Familiarity 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 and designing efficient data pipelines for training deep learning models.

Required Experience and Education:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience (7+ years) as a Deep Learning Engineer or similar role, focusing 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, collaborating effectively with cross-functional teams.
• Experience with building enterprise solutions.
• Self-motivated and proactive attitude towards learning and staying updated with the latest research and industry trends in deep learning.