Machine Learning Engineer
Core
Sr. Machine Learning Engineer supports business vertical teams by analyzing large datasets to find opportunities for product and process optimization, testing courses of action with models, and driving business results with data-based insights.
Role type
Senior IC Machine Learning Engineer (Data Science)
Builds
Production ML models, predictive and statistical models, and data-driven solutions for business optimization
Domain
Enterprise data analytics and business intelligence
Deliverable
production ML models
Required skills
Predictive modeling, Supervised learning, Unsupervised learning, Statistical Modeling, Natural language processing, Recommendation engines, Data cleansing, Feature engineering, Outlier handling, Data imputation, Hypothesis-driven analysis, Data visualization
Preferred skills
Cloud technologies (Microsoft Azure), TensorFlow, Keras, Text Mining, Agile/DevOps processes
Technologies
R, Python, Pyomo, Julia/Jump, Matlab, SAS, SQL, ggplot, Dash, d3.js, Matplotlib, Tableau, Qlikview, Tensorflow, Keras, Theano
Responsibilities
Collaborate with product management and engineering to understand needs and devise solutions; Implement new statistical or mathematical methodologies for specific models; Optimize joint development efforts through appropriate database use and project design; Build, validate, and manage advanced models using statistical and analytical methods; Analyze results using statistical methods to make recommendations to improve customer experience and business results
Seniority
Senior, hands-on IC