This is not a project-based position. This is a full-time, long-term position with the opportunity to travel to the client's office in Silicon Valley two times per year.
You will be responsible for implementing machine learning and predictive modeling techniques that will have a major impact on the company.
This is an excellent opportunity for smart machine learning engineers who want autonomy and the freedom to turn their big data ideas into reality.
What You'll Be Doing
Implement machine learning and predictive modeling techniques (e.g. recommending content to users & ranking content to users based on multiple variables).
Tune SQL queries for Redshift/Hadoop.
Analyze data and performance of data products.
Implementing machine learning and predictive modeling techniques (e.g. recommending content to users & ranking content to users based on multiple variables).
Who You Are (Experience & Skills)
Commercial machine learning experience, not just academic or research experience.
Experienced in machine learning techniques.
Experience with a variety of Big Data tech, distributed machine learning and computing frameworks (S3, Spark, Hadoop, Elasticsearch, etc.)
Experienced in creating high-performance algorithms, prototypes and predictive models.
Experience with deploying solutions in AWS
Experience with Python data science ecosystem - Pandas, SciPy, scikit-learn, NLTK, Gensim, etc.Experience with full-stack development, building large distributed systems and large scale data pipelines
What We Offer
Challenging work on complex and very innovative projects.
Work in an international environment.
Generous benefits package with all kinds of great stuff.
Trainings accustomed to your needs.
Flexible working environment.
Cozy and friendly atmosphere.
About the recuiterMember since Sep 7, 2017 Bishop Mcmahon
from Colorado, United States