Power Grid AI Engineer - Computer Vision & ML

Buzz Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Buzz Solutions is seeking a Machine Learning Engineer to advance computer vision initiatives and build foundational model capabilities. You will bridge cutting-edge research and production systems, reading papers, adapting algorithms, and turning them into deployed models for power grid analysis.

You’ll work with a team of ML engineers, with autonomy to drive projects and support to grow, in a role focused on end-to-end delivery, experimentation, and scalable ML tooling.

Qualifications

• 2–5 years of industry experience in computer vision and ML.
• Production experience: at least one model in production and maintenance.
• Strong Python skills and core ML stack proficiency.
• Experience with CV architectures (CNNs, transformers) and evaluation.

Responsibilities

• Own end-to-end computer vision projects from framing to production deployment.
• Develop production-grade libraries and data pipelines for ML lifecycles.
• Experiment tracking, model versioning and robust testing practices.
• Collaborate with ML engineers and stakeholders to meet client needs.
• Read research, implement ideas, and validate against baselines.

Skills

Computer vision

Machine learning

Python

PyTorch

OpenCV

NumPy

Pandas

Scikit-Learn

Lightning

Vision transformers

Foundation models

Git

CI/CD

Docker

Experiment tracking

Model versioning

PyTest

FastAPI

Pydantic

Tools

PyTorch

OpenCV

Lightning

FastAPI

Pydantic

Docker

Git

CI/CD

Job description

Buzz Solutions is seeking a Machine Learning Engineer to advance computer vision initiatives and build foundational model capabilities. You will bridge cutting-edge research and production systems, reading papers, adapting algorithms, and turning them into deployed models for power grid analysis.

You’ll work with a team of ML engineers, with autonomy to drive projects and support to grow, in a role focused on end-to-end delivery, experimentation, and scalable ML tooling.