Responsibilities:

• 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, as well as optimizing existing machine learning libraries and frameworks.


• Developing ML algorithms to analyze huge volumes of historical data to make predictions.


• Running tests, performing statistical analysis, and interpreting test results.


• Documenting machine learning processes.


• Keeping abreast of developments in machine learning.

Requirements:

• Bachelor's degree in computer science, data science, mathematics, or a related field.


• Master’s 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.