Deep Learning Engineering Lead

As an AI Engineering Manager at our company, you will be responsible for leading AI projects and driving innovation in deep learning applications. Your role will involve managing the design, development, and deployment of AI solutions while ensuring alignment with organizational goals. You will oversee the implementation of deep learning algorithms, particularly in medical image analysis, and mentor team members to create a collaborative and innovative work environment. Key Responsibilities: - Lead the design, development, and deployment of AI solutions, aligning them with organizational goals. - Manage AI projects from inception to completion, coordinating cross-functional teams effectively. - Oversee the implementation of deep learning algorithms, especially in medical image analysis. - Mentor and guide team members to foster collaboration and innovation. - Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications: - Proven experience in managing AI projects and teams. - Solid knowledge of deep learning architectures like CNNs and Transformers. - Prior experience in medical image analysis field is preferred. - Proficiency in programming languages such as Python, C, and C++. - Experience in people management and team leadership. In addition to the qualifications mentioned, familiarity with machine learning frameworks like TensorFlow and PyTorch, excellent communication skills, and the ability to collaborate across teams are preferred. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR will be given preference. As an AI Engineering Manager at our company, you will be responsible for leading AI projects and driving innovation in deep learning applications. Your role will involve managing the design, development, and deployment of AI solutions while ensuring alignment with organizational goals. You will oversee the implementation of deep learning algorithms, particularly in medical image analysis, and mentor team members to create a collaborative and innovative work environment. Key Responsibilities: - Lead the design, development, and deployment of AI solutions, aligning them with organizational goals. - Manage AI projects from inception to completion, coordinating cross-functional teams effectively. - Oversee the implementation of deep learning algorithms, especially in medical image analysis. - Mentor and guide team members to foster collaboration and innovation. - Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications: - Proven experience in managing AI projects and teams. - Solid knowledge of deep learning architectures like CNNs and Transformers. - Prior experience in medical image analysis field is preferred. - Proficiency in programming languages such as Python, C, and C++. - Experience in people management and team leadership. In addition to the qualifications mentioned, familiarity with machine learning frameworks like TensorFlow and PyTorch, excellent communication skills, and the ability to collaborate across teams are preferred. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR will be given preference.