Senior Generative AI ML Engineer — Graph ML & Big Data

Extreme Networks; San Jose (CA); Hybrid; USD 170,000 - 240,000; Full time

Benefits offered by this job

Comprehensive benefits

Hybrid work model

Inclusive workplace environment

Job summary

A leading global networking company is hiring an AI Staff Machine Learning Engineer to pioneer solutions in Generative AI and machine learning. This role involves driving innovative visions, leading the software development lifecycle, and crafting high-performance architectures. Applicants should have expertise in Python, RESTful API design, and cloud platforms, with a minimum of 5 years experience. The position offers a salary range of $170,000 to $240,000 per year depending on experience, along with a hybrid work model and comprehensive benefits.

Qualifications

• Minimum of 5 years experience in the software development lifecycle.
• In-depth knowledge of Python and its advanced libraries.
• Experience leading the design and architecture of large distributed systems.

Responsibilities

• Drive innovative vision for various products and platforms.
• Lead software development lifecycle from design to operations.
• Craft high-performance microservices architectures.

Skills

Expertise in Python

Designing RESTful APIs

Docker

Kubernetes

Machine Learning technologies

Cloud platforms (AWS, Azure, Google Cloud)

Big data optimization

Education

Degree in mathematics/computer science or related discipline

MS or PhD in Computer Science or equivalent experience in ML

Tools

FastAPI

Triton

TensorRT

Sagemaker

Job description

A leading global networking company is hiring an AI Staff Machine Learning Engineer to pioneer solutions in Generative AI and machine learning. This role involves driving innovative visions, leading the software development lifecycle, and crafting high-performance architectures. Applicants should have expertise in Python, RESTful API design, and cloud platforms, with a minimum of 5 years experience. The position offers a salary range of $170,000 to $240,000 per year depending on experience, along with a hybrid work model and comprehensive benefits.