Machine Learning Algorithm Engineer

In this role at Ceremorphic, you will be part of the Deep Learning Algorithms team where you will be involved in developing and commercializing Artificial Intelligence solutions for real-world problems related to NLP, Computer Vision, Speech, Text, Recommendation Systems, and more. You will have the opportunity to work on software that will be used globally and collaborate with the scientific research team to implement and enhance the latest AI algorithms. **Key Responsibilities:** - Implement new algorithms for deep learning, data analytics, machine learning, or scientific computing. - Develop highly optimized AI algorithms by analyzing, defining, and implementing them. - Tune performance and accuracy of algorithms. - Define APIs and analyze functionality coverage. - Conduct general software engineering work to support AI algorithm development. **Qualifications Required:** - Strong skills or experience in Advanced Data structures and algorithms. - Proficient in programming, debugging, performance analysis, and test design. - Familiarity with Deep Learning Frameworks such as TensorFlow, PyTorch, MXNet. - Excellent programming skills in C/C++ and Python, with experience in parallel programming using OpenCL. - Exposure to hardware architecture, especially accelerators, and numerical software. - Experience in constructing and curating large problem-specific datasets. - Professional experience with DL Frameworks like TensorFlow, PyTorch, MXNet. - Ability to perform performance analysis and tuning for algorithms.,