Consulting with managers to determine and refine machine learning objectives.
Working with the Software team and Product Owner to design 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.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Requirements & Skills:
Study computer science, data science, mathematics, or a related field.
Knowledge in computational linguistics, data analytics, or similar will be advantageous.
Proficiency with Python, Java, or R code writing.
Knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Knowledge of mathematics, statistics, and algorithms.
Analytical and problem-solving abilities.
Great communication and collaboration skills.
Good in time management and organizational abilities.
