Machine Learning Engineer Intern at Asurion
Nashville, Tennessee, United States
🇺🇸 (Posted Oct 11 2018)
About the company
Simply put, Asurion helps people stay connected. As the global leader of connected life services, we provide over 300 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. When a product is missing or simply doesn't work properly, Asurion’s 17,000 employees are focused on solving the problem with people and processes operating 24 hours a day, seven days a week, speaking six languages, and working across any device, platform, or provider. By partnering with leading retailers, mobile carriers and pay-tv providers, Asurion helps customers enhance their lives through their technology.
Advanced Analytical Organization:
Asurion’s Advanced analytical team charter is to create AI and ML enabled products and services, generate optimization opportunities. We are seeking individuals who ae passionate in areas such as deep learning, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. On a day to day basis, our teams are challenged to think creatively and solve tough data and analytical problems and bring value from data.
Internship Role and Responsibilities:
As a ML/AI Engineering Intern you will be responsible for the implementation of ML and AI enabled products and services.
Will be hands-on on developing data solutions, using ML/AI technologies and frameworks to meet enterprise analytic needs.
Utilize technical experience and industry knowledge to work on projects across multiple analytics platforms & data solutions
Collaborates with cross-functional teams to understand the business problem, and gather business requirements, supporting data and inputs
Skills & requirements
Here’s what you’ll bring to the team:
Pursuing Bachelor’s degree in Computer Science, Engineering, Business Analytics or related field
1+ years of strong programming experience, preferably Java and/or Python.
1+ Year of experience Machine learning and Deep learning experience
Strong Knowledge in one or more AI/ML/DL Technologies/frameworks (TensorFlow, Mxnet, Theano, Caffe, Keras, Sprak ML, Sci-kit Learn)
Experience in relational database (MySQL, Oracle, PostreSQL)
Experience in Linux shell scripting
Good understanding in developing AWS solutions
Exposure to open source software development tools and solutions.
Object Oriented Programming and Meta Driven development
Advanced SQL knowledge (query optimization, analytical functions, full text searching, volatile tables, etc.)
Must maintain a high sense of ownership, and able to work with a direction instead of being task oriented
Strong verbal and written communication skills; demonstrated influencing skills, high level of technical and team leadership skills.
Instructions how to apply
see the website
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