Overview
On Site
180k - 190k
Full Time
Skills
Semiconductors
Large Language Models (LLMs)
Cross-functional Team
Network Administration
Strategy Development
Data Science
Generative Artificial Intelligence (AI)
Python
Java
Cloud Computing
Google Cloud Platform
Google Cloud
Computational Science
R
MATLAB
Natural Language Processing
Reasoning
Network
Conflict Resolution
Problem Solving
Computer Science
Machine Learning (ML)
Collaboration
Artificial Intelligence
Palo Alto
Job Details
Our client, a global technology leader specializing in semiconductors, software, and security solutions, is seeking a Data Scientist/Engineer to join their team. In this role, you will work on network management and monitoring using machine learning models, leveraging large language models (LLMs) to enhance network data insights. You'll take ownership of AI-driven solutions, especially focusing on chatbot integration, and work closely with a cross-functional team to deploy models into production. This is an exciting opportunity to be a pioneer in AI/ML efforts within the company.
Primary Responsibilities:
Required Qualifications:
Education:
Perks & Benefits:
Primary Responsibilities:
- Develop machine learning models for network management and monitoring
- Leverage LLMs to improve network data insights and AI-driven solutions
- Act as a key liaison for chatbot integration and AI-driven strategy development
- Lead AI/ML initiatives, setting the direction for future efforts
- Collaborate with cross-functional engineering teams (150-200 engineers) to push models into production
- Take full ownership of AI-driven solutions in a greenfield role
Required Qualifications:
- 8+ years of experience in Data Science and Engineering roles
- Strong foundation in machine learning and data science principles
- Hands-on experience with GenAI, LLMs, and deploying machine learning models in production
- Proficiency in Python and Java (preferred)
- Experience with cloud platforms like Google Cloud Platform and Google Cloud ecosystem
- Familiarity with statistical and scientific computing using R or MATLAB
- Expertise in LLMs (fine-tuning, RAG, NLP) and knowledge graphs
- Practical experience with encoding data for LLM reasoning and network problem-solving
Education:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Perks & Benefits:
- Opportunity to work in a greenfield role and set direction for AI/ML efforts
- Cross-functional collaboration with a dynamic team of engineers and AI professionals
- On-site role in Palo Alto, CA
- Comprehensive benefits package, including competitive compensation and growth opportunities
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