Senior ML Engineer — MLOps, Azure & AI Platform

Zealogics.com; San Diego (CA); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

GenAI / LLM experience

Retrieval-Augmented Generation (RAG)

Vector database experience

Semiconductor or manufacturing domain知

Job summary

Zealogics.com seeks a hands-on ML Engineer to drive production-grade model development and deployment on cloud platforms. You will implement robust ML pipelines, collaborate with data scientists, and ensure scalable, reliable ML services in an Azure-based stack.

Ideal candidates bring deep Python expertise, experience with PyTorch/TensorFlow, strong software engineering practices, and a track record in platform operations and model lifecycle management.

Qualifications

• Production-grade ML model development and deployment.
• Strong Python expertise and ML frameworks (PyTorch, TensorFlow).
• MLOps and model lifecycle management.
• Azure cloud experience.
• Strong software engineering practices and coding standards.
• Platform operations and support experience.

Responsibilities

• Develop and deploy production ML models.
• Maintain model lifecycle and MLOps pipelines.
• Collaborate with data science and platform teams to ensure reliability and scalability.
• Support and monitor ML platforms to ensure availability and performance.

Skills

Python

ML frameworks

MLOps

Azure

Software engineering

Platform operations

Tools

PyTorch

TensorFlow

Azure Cloud

Job description

Zealogics.com seeks a hands-on ML Engineer to drive production-grade model development and deployment on cloud platforms. You will implement robust ML pipelines, collaborate with data scientists, and ensure scalable, reliable ML services in an Azure-based stack.

Ideal candidates bring deep Python expertise, experience with PyTorch/TensorFlow, strong software engineering practices, and a track record in platform operations and model lifecycle management.