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Internship - Data Science
3 months ago
Equinix is the world's digital infrastructure company, operating 240+ data centers across the globe and providing interconnections to all the key clouds and networks.
Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments.Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.
At Equinix, we help the world's digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people's lives.
We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions.
Job Summary
As a Data Science intern, you will be responsible to work on optimizing our AI/ML systems.
You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive capabilities.
Responsibilities
- Research and implement appropriate ML algorithms and tools
- Envision, implement, and deliver productionlevel NLP, Computer Vision and Reinforcement Learning models
- Deploy ML models into production using cuttingedge deployment strategies, conduct A/B tests to objectively measure improvements
- Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production
- Building Features, running tests, performing statistical analysis, and interpreting test results
- Proficient in any of the deep learning frameworks such as PyTorch, TensorFlow, Keras
Qualifications
- Masters or Ph.
- Experience coding in Python
- Experience in building, deploying, and improving Machine Learning models and algorithms in realworld products with expertise in NLP, NLU, Computer Vision and Reinforcement Learning
- Excellent understanding of software engineering principles and design patterns
- Experience in one of the cloud platforms AWS, GCP or Azure
- Ability to communicate the results of analysis
- Highly effective time management, communication, and organizational skills
All applicants will receive consideration for employment without regard to race, religion, colour, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.