Machine Learning Engineer

About the Role

As a Machine Learning Engineer, you will develop self-running AI software to automate predictive models for recommended searches, virtual assistants, translation apps, chatbots, and driverless cars. You will also design machine learning systems, apply algorithms to generate accurate predictions, and resolve data set problems.

Requirements

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

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

  • At least two years of 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.

  • Analytical and problem-solving abilities.

  • Great communication and collaboration skills.

  • Excellent time-management and organizational abilities.

Responsibilities

Consulting with managers to determine 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.
Ensuring 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.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Staying up-to-date with developments in machine learning.