Company Description:
- Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments.
- Arista is a well-established and profitable company with over $5 billion in revenue.
- Arista's award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience.
- Arista is a founding member of the Ultra Ethernet consortium.
- We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system.
- Arista is committed to open standards, and its products are available worldwide directly and through partners.
- At Arista, we value the diversity of thought and perspectives each employee brings.
- We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation.
- Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance.
- At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do.
Who You'll Work With:
- Arista is excited to scale the WiFi Team in the Pune Development Center to take it's Cognitive WiFi solution to the next level.
- Arista has ambitious plans to grow the Pune-based Development Center in the next couple of years and now is a great time to join the team when you can have a significant impact on the shape and direction as the office grows.
What You'll Do:
- Work with the Cognitive WiFi team to research and develop techniques for anomaly detection, root cause analysis and auto remediation.
- Develop ML models and measure their effectiveness across all of Arista's customers.
- Work on extracting and analyzing data from a wide variety of Wi-Fi networks.
- Develop proof of concepts and ship new features in Arista's CloudVision Wi-Fi solution.
- Possibly share the findings with a larger community through talks and blog posts.
Qualifications.
- Minimum 8 years of experience in Data Science, Machine Learning and AI technologies.
- Knowledge of Python or R and SQL.
- Knowledge of Pandas (Python) or Tidyverse (R) libraries.
- Experience in using Jupyter or RStudio/RMarkdown notebooks.
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