Eligibility Criteria

• 3+ years of professional development experience
• Experience with web frameworks and APIs (e.g. React, Node)
• Experience as a full stack developer (Javascript required, Typescript helpful)
• Experience writing unit tests, participating in design discussions, data shape, and business logic.
• Understanding of relational databases, and other types of data stores a bonus
• Proven ability to work with multiple tech stacks simultaneously

Preferred Skills

• 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 up to date with developments in machine learning.

Minimum Requirements

• Bachelor's or master's degree in computer science, data science, mathematics, computational linguistics, data analytics, or a similar field.
• 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, teamwork and collaboration skills.
• Time management and organizational abilities