Machine Learning Engineer

Position summary:

A Machine Learning Engineer is a crucial member of the Data Science team. You will be responsible for assisting our data scientists, date engineers, and dev ops engineers to deploy and scale customer-facing algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also to have access to word class academics though our partnerships and joint contracts with universities, as well as our staff of PhDs and researchers.

Essential functions:

Optimize the team’s algorithms for deployment
Develop transportable and customizable SDKs for our core algorithms, allowing them to be plugged into any of our apps
Develop SDKs for rapid prototyping and deployment of algorithms
Automate and orchestrate advanced split tests of models
Continually refine the department’s code base and ensure best development processes
Identify constraints, strengths, and weaknesses of technology options for each algorithm

Skills:

Expert in distributed computing with Spark, DevOps best practices, and containerization
Expert coding ability in Python and high competency with PySpark
Understanding of, and experience productionizing, the following ML concepts:
Collaborative filtering
Matrix factorization
Ranking algorithms
Advanced regression, classification, clustering, and time series algorithms
Automated hyperparameter tuning and model selection
Deep learning at scale for NLP
Experience with advanced search concepts using deep learning.

In addition to the following skill set:

Developing applications on Cloud services or on-premise big data cluster processing
Building infrastructure for large scale machine learning infrastructure
Research on new efficient processes for machine learning frameworks
Perform statistical analysis and fine-tuning of existing ML frameworks
Contribute to building data representation methods for front end systems

Education Requirements:

Minimum of a Bachelor’s degree in Business Analytics.