Description

You will develop anomaly detection, root cause analysis, and auto-remediation techniques for the Cognitive WiFi team, while designing and fine-tuning LLMs for natural language tasks.

This role is on-site.

Responsibilities

• Develop ML models and measure their effectiveness across customer environments.
• Design, develop, and fine-tune Large Language Models for understanding, generation, summarization, and question-answering.
• Extract and analyze data from diverse Wi-Fi networks to build proof of concepts and ship features into CloudVision.
• Share research findings through technical talks and blog posts.

Required Skills

• 5+ years of experience in Data Science, Machine Learning, and AI technologies.
• Extensive experience with LLM architecture, fine-tuning, prompt engineering, and deployment.
• Proficiency in Python or R.
• Strong knowledge of SQL.
• Experience using Pandas (Python) or Tidyverse (R) libraries.
• Hands-on experience with Jupyter or RStudio/RMarkdown notebooks.

Preferred Skills

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

Key Skills

Education

Any Gradute