Senior Computer Vision & ML Engineer - Production Grid AI

Buzz Solutions; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Buzz Solutions seeks an experienced Machine Learning Engineer to advance computer vision initiatives and build foundational model capabilities for power grid analysis. You’ll bridge cutting-edge research and production systems, turning papers into deployed models with strong autonomy.

You will lead end-to-end CV projects, adapt latest DL techniques, and contribute to data pipelines, tooling, and model serving. Expect collaboration with senior engineers and a fast-moving environment.

Qualifications

• 5–10 years of industry experience in computer vision and machine learning.
• Deep expertise in modern computer vision and deep neural networks: object detection, semantic segmentation, image classification, vision transformers and foundation models.
• Proven track record of deploying and maintaining ML models in production.
• Experience selecting, fine-tuning, and adapting model architectures for specific use cases.
• Ability to read ML research papers, extract key ideas, and implement them.

Responsibilities

• Own and deliver end-to-end computer vision projects from problem framing through production deployment and monitoring.
• Stay current with ML/CV research and evaluate applicability to our domain; adapt algorithms and validate against baselines.
• Develop production-grade Python libraries and data pipelines for the ML lifecycle; manage experiment tracking and model versioning.
• Build model serving pipelines that meet latency and throughput requirements; write tests and perform code reviews.
• Communicate research findings and technical decisions clearly to stakeholders and clients.

Skills

Python proficiency

Deep learning

Computer vision

Model deployment

Experimentation

Tools

PyTorch

OpenCV

NumPy

pandas

Scikit-Learn

FastAPI

Pydantic

Git

Docker

Job description

Buzz Solutions seeks an experienced Machine Learning Engineer to advance computer vision initiatives and build foundational model capabilities for power grid analysis. You’ll bridge cutting-edge research and production systems, turning papers into deployed models with strong autonomy.

You will lead end-to-end CV projects, adapt latest DL techniques, and contribute to data pipelines, tooling, and model serving. Expect collaboration with senior engineers and a fast-moving environment.