Remote Machine Learning Engineer

Summary

Join our team as a Machine Learning Engineer and contribute to building client capabilities by coaching team members on data science methodologies and approaches. As a key member of our AI projects, you will work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models.

Requirements

• BSc/MSc in computer science, mathematics or related technical discipline
• 1-4 years’ experience in software engineering with exposure to statistical and/or data science role (5-10 years for Senior ML Engineer)
• Deep knowledge and proven experience with optimizing machine learning model in a production context
• Experience with Python or Scala is required. Background in programming in C, C++, Java is beneficial
• Exposure to both streaming and non-streaming analytics
• Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)

Responsibilities

• Refactor prototypes of predictive models into highly performant, production ready solutions
• Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
• Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
• Choose and use the right analytical libraries, programming languages, and frameworks for each task
• Contribute to building client capabilities by coaching team members on data science methodologies and approaches
• Contribute to best coding and engineering practice across AI projects
• Build/refactor/develop code into reusable libraries, APIs, and tools