Machine Learning Engineer, Spark/Pyspark

My direct client is seeking a fully remote Machine Learning Engineer for their distributed team working on a enterprise e-commerce application affecting millions of users globally.

Location: REMOTE (client in Boston area but open to different time zones)
Duration: 6-month contract-to-hire
Rate: Competitive and dependent upon experience
Start Date: ASAP

Unfortunately we are unable to work on OPT EAD or with third party employers at this time.

Essential functions:
· Optimize models developed by the Data Science team for deployment
· Consult with our brands and business partners to create Client/AI solutions to their largest business challenges
· 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

Skills:
· Experience taking algorithms from concept to production
· Strong coding ability in Python
· High competency with Spark, preferably using PySpark
· Deep understanding of, and experience applying, the following Client concepts:
o Matrix Factorization
o Association rule mining
o Ranking algorithms
o Advanced regression, classification, clustering, and time series algorithms
o Automated hyperparameter tuning and model selection
o Deep learning at scale for NLP
· Experience with advanced search concepts using deep learning is a plus!

Experience:
· 4 + years of applied Machine Learning experience
· 4 + years of experience deploying, scaling, monitoring, and continually improving algorithms
· Experience deploying models on very large data using:
o Spark, MLlib, PySpark, Scala
o Kafka
o Kubernetes
· Knowledge of model management
· Knowledge of API development best practices