Ph.D. Data Scientist with Excellent Programming and Computer Vision skills

We’re representing a Machine Learning and Computer Vision scientist who is currently working for a recently acquired AI startup and is open to new challenges.

• Trained deep learning computer vision models in Tensorflow, primarily for object detection and semantic segmentation, including training data curation and preparation
• Designed Dockerized deep learning cloud microservices for image annotation and anonymization
• Implemented production systems in Python to deploy deep models and more traditional data science algorithms operating on both image and lidar point cloud data
• Sole investigator on internal and customer-facing projects involving machine learning with an emphasis on natural language processing applications: topic extraction, sentiment analysis, automated prioritization of messages

• Ph.D. in Mathematics
• BS in Physics

• Machine learning and natural language processing with an emphasis on deep learning
• Emphasis on Tensorflow, PyTorch, Caffe
• Export of deep learning models for Tensorflow Serving
• Deployment of GPU-accelerated models to AWS using Nvidia-docker
• Metasploit and Kali Linux penetration testing toolkits
• Scripting in Python and Ruby
• Statistics and data analysis with Python, MATLAB, and R
• SQL and NoSQL databases, including PostgreSQL, Amazon Redshift, MongoDB
• Web applications powered by Ruby, Rails, Django, Flask