Overview
Hybrid
$55 - $83
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Cyber Security
SIEM
PyTorch
Python
TensorFlow
scikit-learn
Machine Learning (ML)
Google Cloud Platform
Apache Hadoop
Docker
Microsoft Azure
Kubernetes
Cloud Computing
Apache Spark
IDS
IPS
Data Processing
Artificial Intelligence
Job Details
Title of the role: ML/AI Developer / Engineer
Duration: 12month+
Duration: 12month+
Location: Sunnyvale, CA
Hybrid Position
Machine Learning AI Developer - IT Infrastructure, InfoSec, and Operations
We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure, InfoSec, and Operations team.
Requirements:
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
- Overall 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
- Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
Hybrid Position
Machine Learning AI Developer - IT Infrastructure, InfoSec, and Operations
We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure, InfoSec, and Operations team.
Requirements:
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
- Overall 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
- Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.