We are looking for a highly capable backend engineer for our machine learning team to optimize our machine learning systems, create tools available for the data scientist to use, running automatic evaluations, improve our code infrastructure
Engineer responsibilities:
Design, and create solutions for machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Running tests, performing statistical analysis and interpreting test results.
Document and maintain machine learning processes.
Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
At least five years experience as a backend engineer.
Experience in productionizing data science models.
Knowledge in machine learning engineering.
Advanced proficiency with Python.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Innovative mindset, research problems that arent always well defined.
Advantages:
Bachelor's degree in computer science, data science, mathematics, or a related field.
At least five years experience as a backend engineer.
Experience in productionizing data science models.
Knowledge in machine learning engineering.
Advanced proficiency with Python.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Innovative mindset, research problems that arent always well defined.
Advantages:
Expertise in at least one popular Python framework (Flask or FastApi)
Experience using GCP and/or AWS
Experience using GCP dataproc, spark, GAE, GKE
Experience using Ray.
Weights and Biases or similar platforms.
This position is open to all candidates.
