Senior Machine Learning Engineer

Candidate Profile
Extensive experience in data analytics and machine learning with proven experience in integrating data pipelines to enable machine learning. 
Ability to surface solutions that solve both nebulous business problems and meet technical challenges in bringing together data to enable advanced machine learning.
Be comfortable defending elegant solutions in front of stakeholders and mentoring junior developers.

Technical Skills
•    Python (Numpy, pandas, scikit etc.)
•    Tensorflow, Keras, Pytorch, Scikit-learn, XGBoost
•    Strong Experience regression regression models (Linear, Logistic)
•    Experience with NLP, Computer Vision, Time series data etc. is a plus
•    Strong Experience with unsupervised and supervised learning methods
•    SQL
•    Spark
•    AWS platforms such as S3, Glue, Athena, Sagemaker, Lamda

Additional Skills
•    Communicating solutions in writing
•    Presenting solutions to diverse stakeholders (data engineers, economists, business leaders)
•    Creating structure for ambiguous problems
•    Providing scalable solutions for business challenges

Experience Checklist
•    Proposing multiple solutions in writing and ability to highlight/defend best solution in front of stakeholders
•    Integrating big data pipelines to create data lakes and enable machine learning
•    Unifying 1P, 2P and 3P data pipelines
•    Managing projects with large data sets and working with cross-functional teams
•    Supporting team members and other engineers in problem-solving and scaling solutions
•    Working with customer/marketing data
•    Mentoring junior developers