Arista Networks builds the infrastructure software that is the foundation block for Data Centres, Cloud, Web and the entire internet. Our switches and routers are the backbone of  large data centres that host Microsoft Azure, Google Cloud, Facebook etc. High Frequency Traders rely on Arista to provide ultra-low latency network. Besides, we also provide the last mile connectivity for campus wide networking (both wired and wireless) through our  Cognitive Cloud Networking solutions. Arista disrupted the traditional infrastructure technology by pioneering the move from hardware to Software Defined Networks, Cloud and now to greater network visibility through telemetry and data analytics solutions. All this is possible because of the strong product engineering innovation that is the core of Arista’s DNA. At Arista we take pride in our engineering prowess. We hire the best engineers and give them the most complex infrastructure problems to solve. We push for quality and not quantity. As our CTO/EVP(Engineering) Ken duda puts it "It’s in our culture, quality is the  most important thing. Getting it right is more important than feature velocity, ship dates and new platforms".

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.

Responsibilities

• 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.

• Bachelor’s degree in computer science or a related field.
• 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.

All your information will be kept confidential according to EEO guidelines.