Company Name:-
Cardinal Intellectual Property, Inc

Job Location:-
Evanston, IL 60201 (Downtown area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionCardinal Intellectual Property is actively seeking Data Scientist/Machine Learning Engineer to join our dynamic and fast-growing technology team.

This is an excellent opportunity for an Engineer who wants to work with cutting edge technologies and to be a crucial part of building the next generation of our applications by integrating machine learning to speed up the business process.

This is a cross-technology opportunity which involves machine learning model invention and application, with the goal of assisting lawyers, researchers, and field specialists in retrieving relevant data quickly and accurately.

Your role will be to critically analyze new methods and technologies and apply them to scalable, enterprise-ready code responsible for processing large-scale image search requests in new and intelligent ways.

Position Responsibilities/Duties: Research and implement new image search models and improvements to existing ones using big data to solve real-world problems.

Collaborate and contribute with other engineers to facilitate creation of novel architectures.

Building scalable, enterprise grade implementations using Python and other technologies executing in a multi-server cloud contextAnalyzing data form(architecture), storage, transfer, and representation to improve performance for clients and users.

Work directly with PMs POs, DB engineers, DevOps, engineers, and others, as necessary.

Required Skills and Abilities: 3+ years using PythonExperience with Computer Vision such as Image Recognition, Segmentation, ClassificationHand-on experience with classical Machine Learning and Deep LearningUnderstanding of denormalized database structures and retrieval methods e.

g.

, SQL)Experience with NumPy/TensorFlow/torch/pandasExperience with FlaskExperience with OpenCV or other computer vision librariesExperience with Docker is a plusExperience with Spark is a plusExperience with Azure is a plusQualifications: Ph.

D.

or MS in Computer Science or a related field3+ years’ experience in machine learningHands-on experience in developing deep learning solutionsExperience with search algorithms/modelsCompany Benefits for Full Time employees: Insurance Benefits (Health, Dental, Vision,

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