Senior Deep Learning Engineer

Tasks: 

• Design, implement, and optimize advanced deep learning algorithms and models for a variety of applications (e.g., computer vision, NLP, autonomous systems)
• Conduct research on state-of-the-art deep learning techniques, evaluate new architectures, and incorporate cutting-edge methods into projects
• Train large-scale models on distributed systems, optimize performance, and ensure models are scalable, efficient, and accurate. 
• Oversee data collection, preprocessing, and augmentation processes, ensuring that high-quality, labeled datasets are used for model training
• Collaborate with cross-functional teams, including data scientists, engineers, and product teams. Mentor junior engineers and provide guidance on best practices 
• Implement and deploy deep learning models into production environments, ensuring they are integrated with other systems and deliver real-time results
• Monitor deployed models, analyze performance metrics, and refine models based on feedback, ensuring continuous improvement in accuracy and efficiency 

Requirements: 

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field
• Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and a strong understanding of neural networks and architectures
• Proficiency in Python and experience with relevant libraries (e.g., NumPy, Pandas, OpenCV, SciPy) for deep learning and data manipulation
• Strong background in machine learning concepts, including supervised and unsupervised learning, model evaluation, and optimization techniques
• Experience working with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing frameworks (e.g., TensorFlow, Horovod) for large-scale training
• Ability to analyze complex data, conduct original research, and stay updated on the latest trends in deep learning and AI
• Strong teamwork, communication, and presentation skills, with the ability to explain complex deep learning concepts to non-technical stakeholders

Offer: 

• 100% remote work 
• MultiSport Plus 
• Group insurance 
• Medicover Premium 
• e-learning platform