Machine Learning

We are searching for a highly skilled machine learning engineer to enhance and optimize our machine learning systems. Your responsibilities will include evaluating current machine learning processes, conducting statistical analysis to address data set issues, and improving the accuracy of our AI software's predictive automation capabilities. To succeed in this role, you must showcase strong knowledge of data science and have experience in a relevant machine learning position. An exceptional machine learning engineer will be able to leverage their expertise to enhance the performance of predictive automation software effectively. As a Machine Learning Engineer, your duties will involve: - Collaborating with managers to identify and refine machine learning objectives. - Designing machine learning systems and self-running artificial intelligence (AI) software for automating predictive models. - Converting data science prototypes and implementing suitable ML algorithms and tools. - Ensuring that algorithms produce precise user recommendations. - Converting unstructured data into valuable insights through tasks such as auto-tagging images and text-to-speech conversions. - Resolving complex issues using multi-layered data sets, as well as refining existing machine learning libraries and frameworks. - Creating ML algorithms to analyze extensive historical data for making predictions. - Conducting tests, carrying out statistical analysis, and interpreting test outcomes. - Documenting machine learning procedures. - Staying updated on advancements in the field of machine learning. The qualifications for a Machine Learning Engineer are: - Bachelor's degree in computer science, data science, mathematics, or a related discipline. - A Master's degree in computational linguistics, data analytics, or a similar field would be beneficial. - Minimum of two years" experience as a machine learning engineer. - Proficiency in Python, Java, and R coding. - Extensive understanding of ML frameworks, libraries, data structures, data modeling, and software architecture. - Thorough knowledge of mathematics, statistics, and algorithms. - Exceptional analytical and problem-solving skills. - Strong communication and collaboration capabilities. - Excellent time management and organizational skills. Skills required: - Artificial Intelligence (AI) - Deep Learning - PowerBI,