ML Platform Engineer for Scalable CV Pipelines

Buzz Solutions; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Buzz Solutions is seeking an entry/mid-level Applied Machine Learning Platform Engineer to join their computer vision team in the United States. This role involves designing and maintaining scalable training infrastructure, implementing distributed training pipelines, and improving data workflows. Candidates should have 2-4 years of experience in MLOps or backend engineering, along with strong Python skills and familiarity with cloud platforms like AWS and GCP. Join a dynamic team to drive impactful machine learning projects.

Qualifications

• 2-4 years of industry experience in platform, backend, data, or MLOps engineering roles.
• Strong software engineering fundamentals including testing and code review.
• Experience with cloud machine learning infrastructure.

Responsibilities

• Design, build, and maintain scalable training infrastructure for computer vision workloads.
• Implement and manage distributed training pipelines.
• Build and maintain robust data pipelines for ML development.

Skills

Python proficiency

Distributed cloud machine learning infrastructure

Database design for ML workloads

Workflow orchestration and automation

Tools

AWS

GCP

Kubernetes

Docker

Postgres

Job description

Buzz Solutions is seeking an entry/mid-level Applied Machine Learning Platform Engineer to join their computer vision team in the United States. This role involves designing and maintaining scalable training infrastructure, implementing distributed training pipelines, and improving data workflows. Candidates should have 2-4 years of experience in MLOps or backend engineering, along with strong Python skills and familiarity with cloud platforms like AWS and GCP. Join a dynamic team to drive impactful machine learning projects.