Machine Learning

You will be responsible for optimizing machine learning systems, evaluating existing ML processes, and enhancing the accuracy of AI software's predictive automation capabilities. Your key responsibilities will include: - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring that algorithms generate accurate user recommendations. - Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. - Developing ML algorithms to analyze huge volumes of historical data for predictions. - Running tests, performing statistical analysis, and interpreting test results. - Documenting machine learning processes. - Keeping abreast of developments in machine learning. Qualifications required for this role: - Bachelor's degree in computer science, data science, mathematics, or a related field. - Masters degree in computational linguistics, data analytics, or similar will be advantageous. - At least two years" experience as a machine learning engineer. - Advanced proficiency with Python, Java, and R code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - In-depth knowledge of mathematics, statistics, and algorithms. - Superb analytical and problem-solving abilities. - Great communication and collaboration skills. - Excellent time management and organizational abilities. Please note that the job also requires skills in Artificial Intelligence (AI), Deep Learning, and PowerBI.,