Description

You will design and optimize machine learning systems to enhance the accuracy of predictive automation capabilities.

Responsibilities

• Design machine learning systems and self-running AI software to automate predictive models.
• Transform data science prototypes into production by applying appropriate ML algorithms and tools.
• Develop ML algorithms to analyze large volumes of historical data for predictive modeling.
• Perform statistical analysis and run tests to interpret results and resolve dataset problems.
• Optimize existing machine learning libraries and frameworks to solve complex problems with multi-layered data sets.
• Document machine learning processes and consult with managers to refine objectives.

Required Skills

• At least 5 years of experience in a machine learning role.
• Advanced proficiency in Python, Java, and R.
• Extensive knowledge of ML frameworks and libraries.
• Strong understanding of data structures and data modeling.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Experience turning unstructured data into useful information through auto-tagging and text-to-speech conversions.
• Bachelor's degree in computer science, data science, mathematics, or a related field.

Preferred Skills

• Master’s degree in computational linguistics, data analytics, or a similar field.

Key Skills

Education

Any Graduate