AI, ML/DL Experts

You will be responsible for researching, modifying, and applying data science and data analytics prototypes. Your duties will include creating and constructing methods and plans for machine learning, utilizing test findings for statistical analysis and model improvement, training and retraining ML systems and models as needed, enhancing current ML frameworks and libraries, developing machine learning applications based on customer requirements, exploring, testing, and implementing suitable ML tools and algorithms, evaluating the potential of ML algorithms for application cases and problem-solving, and gaining a better understanding of data through exploration and visualization to identify data distribution discrepancies that could impact model effectiveness in practical scenarios. Your expertise in image processing/computer vision algorithms, deep learning, and machine learning techniques will be crucial for this role. You should possess a strong understanding of advanced mathematics and statistics, especially in calculus, linear algebra, and Bayesian statistics. Experience or understanding of optimizations performed on ML/DNN models, familiarity with machine learning and deep neural network frameworks like TensorFlow, PyTorch, Caffe, and Caffe2, as well as proficiency in Python, C/C++, will be essential. Additionally, self-motivation to learn and explore new areas is highly valued. Ideally, you should have 4 to 10 years of experience in the field. The expected notice period for this position is immediate or up to 30 days. Proficiency in C++, Python, design patterns, system design, data structures, algorithms, embedded C, artificial intelligence, deep learning, and machine learning, along with supported skills in TensorFlow, PyTorch, Caffe, and Caffe2, will be required for successful performance in this role.,