Machine Learning Engineer

As a highly capable machine learning engineer, you will be responsible for optimizing machine learning systems by evaluating existing processes, performing statistical analysis, and enhancing the accuracy of AI software's predictive automation capabilities. Your expertise will directly impact the performance of predictive automation software. **Key Responsibilities:** - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and AI software for automation of predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring accurate user recommendations by developing algorithms. - Converting unstructured data into useful information through auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks. - Analyzing historical data volumes to make predictions using ML algorithms. - Running tests, performing statistical analysis, and documenting machine learning processes. - Staying updated on developments in the field of machine learning. **Qualifications Required:** - Bachelor's degree in computer science, data science, mathematics, or related field. - Master's degree in computational linguistics, data analytics, or similar (advantageous). - Minimum of two years' experience as a machine learning engineer. - Proficiency in Python, Java, and R for code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - Deep understanding of mathematics, statistics, and algorithms. - Strong analytical and problem-solving skills. - Excellent communication, collaboration, time management, and organizational abilities. In addition to the above, you will be expected to work full-time on-site and possess at least one year of total work experience. Please note that this job requires in-person work at the specified location. As a highly capable machine learning engineer, you will be responsible for optimizing machine learning systems by evaluating existing processes, performing statistical analysis, and enhancing the accuracy of AI software's predictive automation capabilities. Your expertise will directly impact the performance of predictive automation software. **Key Responsibilities:** - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and AI software for automation of predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring accurate user recommendations by developing algorithms. - Converting unstructured data into useful information through auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks. - Analyzing historical data volumes to make predictions using ML algorithms. - Running tests, performing statistical analysis, and documenting machine learning processes. - Staying updated on developments in the field of machine learning. **Qualifications Required:** - Bachelor's degree in computer science, data science, mathematics, or related field. - Master's degree in computational linguistics, data analytics, or similar (advantageous). - Minimum of two years' experience as a machine learning engineer. - Proficiency in Python, Java, and R for code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - Deep understanding of mathematics, statistics, and algorithms. - Strong analytical and problem-solving skills. - Excellent communication, collaboration, time management, and organizational abilities. In addition to the above, you will be expected to work full-time on-site and possess at least one year of total work experience. Please note that this job requires in-person work at the specified location.