Manager of Artificial Intelligence

As a Lead Algorithm Engineer, you will be responsible for leading and mentoring a team of algorithm engineers to ensure their professional growth and success. You will play a crucial role in developing and maintaining the infrastructure necessary for deploying algorithms at scale. Collaboration with data scientists, software engineers, and product managers is key to designing and implementing robust and scalable algorithmic solutions. Your expertise will be essential in optimizing algorithm performance and resource utilization to achieve business objectives. Staying up-to-date with the latest advancements in algorithm engineering and infrastructure technologies is paramount. By applying these advancements, you will contribute to enhancing our systems. Driving continuous improvement in development processes, tools, and methodologies is an integral part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your proven experience in developing computer vision, image processing algorithms, and ML/DL algorithms will be a valuable asset. Proficiency in programming languages such as Python, C++, and CUDA is required. Additionally, you should possess strong leadership and team management skills, along with excellent problem-solving and analytical abilities. Effective communication and collaboration are essential qualities for success in this role. Preferred qualifications include experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits such as Docker and Apptainer is a plus. The minimum qualifications for this position include a Bachelor's or Master's degree along with at least 8 years of relevant experience. Familiarity with high-performance computing, parallel programming, and distributed systems is also expected.,