Deep Learning Engineering Lead Medical Imaging Thane (India)

Role Overview: As an AI Engineering Manager, you will be responsible for leading AI projects and driving innovation in deep learning applications. Your main focus will be on leveraging your expertise in deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, to oversee AI initiatives effectively. Key Responsibilities: - Lead the design, development, and deployment of AI solutions, ensuring they align with organizational goals. - Manage AI projects from start to finish, coordinating cross-functional teams and resources efficiently. - Supervise the implementation of deep learning algorithms for various applications, especially in medical image analysis. - Mentor and guide team members to cultivate a collaborative and innovative work environment. - Ensure high-quality code development in Python, C, or C++, demonstrating a solid grasp of object-oriented programming concepts. Qualifications: - Proven track record in managing AI projects and teams. - Strong knowledge of deep learning architectures like CNNs and Transformers. - Prior experience in the medical image analysis domain is desirable. - Proficiency in programming languages such as Python, C, and C++. - Experience in people management and team leadership. Additional Company Details (if present): The company prefers candidates with familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and outstanding communication skills to collaborate effectively across teams. Candidates with publications in conferences like ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are highly preferred. Role Overview: As an AI Engineering Manager, you will be responsible for leading AI projects and driving innovation in deep learning applications. Your main focus will be on leveraging your expertise in deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, to oversee AI initiatives effectively. Key Responsibilities: - Lead the design, development, and deployment of AI solutions, ensuring they align with organizational goals. - Manage AI projects from start to finish, coordinating cross-functional teams and resources efficiently. - Supervise the implementation of deep learning algorithms for various applications, especially in medical image analysis. - Mentor and guide team members to cultivate a collaborative and innovative work environment. - Ensure high-quality code development in Python, C, or C++, demonstrating a solid grasp of object-oriented programming concepts. Qualifications: - Proven track record in managing AI projects and teams. - Strong knowledge of deep learning architectures like CNNs and Transformers. - Prior experience in the medical image analysis domain is desirable. - Proficiency in programming languages such as Python, C, and C++. - Experience in people management and team leadership. Additional Company Details (if present): The company prefers candidates with familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and outstanding communication skills to collaborate effectively across teams. Candidates with publications in conferences like ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are highly preferred.