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Arista Channels

Data Scientist

Posted 17 Days Ago
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In-Office
Pune, Mahārāshtra
Senior level
In-Office
Pune, Mahārāshtra
Senior level
Develop ML models and techniques for anomaly detection and remediation, working with WiFi networks and Large Language Models.
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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 $8 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.

 

Job Description

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.
    • Design, develop, and fine-tune Large Language Models (LLMs) for various applications such as natural language understanding, generation, summarization, and question-answering.
    • 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

    • Bachelor’s degree in computer science or a related field.
    • Minimum 5 years of experience in Data Science, Machine Learning and AI technologies.
    • Knowledge of Python or R and SQL.
    • Extensive experience with Large Language Models (LLMs), including architecture understanding, fine-tuning, prompt engineering, and deployment
    • Knowledge of Pandas (Python) or Tidyverse (R) libraries.
    • Experience in using Jupyter or RStudio/RMarkdown notebooks.

    Additional Information

    Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand the principles of sound software engineering and the importance of doing things right.
    We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools.
    Every part of the company is accessible to our engineers, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature.
    Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

    Top Skills

    Jupyter
    Large Language Models
    Pandas
    Python
    R
    Rmarkdown
    Rstudio
    SQL
    Tidyverse

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