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 opportunity to work with the scientific research team to implement and enhance the latest AI algorithms. Your role will be crucial in building software that will be utilized globally. Key Responsibilities: - Strong understanding of advanced data structures and algorithms - Proficient in programming, debugging, performance analysis, and test design - Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, MXNet - Excellent skills in C/C++ and Python programming, 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 proficiency in advanced data structures and algorithms - Excellent programming, debugging, performance analysis, and test design skills - Familiarity with Deep Learning Frameworks (e.g., TensorFlow, PyTorch, MXNet) - Proficient in C/C++ and Python programming, with experience in parallel programming (OpenCL) - Exposure to hardware architecture, especially accelerators, and numerical software In this role, you will play a vital part in developing and optimizing AI algorithms, working on performance tuning, API definition, and other software engineering tasks. Your expertise in deep learning, algorithmic background, and exposure to computer architecture will be instrumental in implementing highly optimized AI algorithms.,