Machine Learning Algorithm Engineer

As a software engineer for Ceremorphic's Deep Learning Algorithms team, 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 unique opportunity to collaborate with the scientific research team to implement and enhance the latest AI algorithms. Your role will entail team building to create software that will be utilized on a global scale. Key Responsibilities: - Strong understanding of advanced data structures and algorithms. - Proficiency in programming, debugging, performance analysis, and test design. - Hands-on experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet. - Excellent skills in C/C++ and Python programming, as well as parallel programming with OpenCL. - Exposure to hardware architecture, particularly accelerators, and numerical software. - Developing algorithms for deep learning, data analytics, machine learning, or scientific computing. - Creating and managing large problem-specific datasets. - Professional experience with DL Frameworks like TensorFlow, PyTorch, MXNet. - Conducting performance analysis and tuning. Qualifications Required: - Strong knowledge of advanced data structures and algorithms. - Proficient in programming, debugging, performance analysis, and test design. - Experience with Deep Learning Frameworks (e.g., TensorFlow, PyTorch, MXNet). - Strong programming skills in C/C++ and Python, with expertise in parallel programming (OpenCL). - Familiarity with hardware architecture, especially accelerators, and numerical software. - Ability to develop algorithms for deep learning, data analytics, machine learning, or scientific computing. - Hands-on experience in constructing and managing large problem-specific datasets. - Professional background in DL Frameworks (e.g., TensorFlow, PyTorch, MXNet). - Previous experience in performance analysis and tuning. - Exposure to hardware architecture, particularly accelerators, and numerical software.,