Computer Vision, Machine Learning Engineer

Buzz Solutions

Machine Learning Engineer bridging the gap between research and production systems at Buzz Solutions. Enhancing power grid infrastructure through advanced AI solutions.

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain
Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability
Own and deliver end-to-end computer vision projects focused on:
Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines
Perform structured error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image quality)
Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs
Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and quality monitoring
Experiment tracking and model versioning (configurations, random seeds, dataset versions, environment specs, and model checkpoints)
Build model serving pipelines that meet latency and throughput requirements
Conduct thorough code reviews and write integration tests for ML pipelines
Communicate research findings, technical decisions, and model limitations clearly to stakeholders

Requirements

What you’ll need

2-4 years of industry experience in computer vision and machine learning
Solid understanding of modern computer vision and deep neural networks including:
Demonstrated ability to read ML research papers, extract key ideas, and implement them
Experience adapting published methods to specific use cases and validating against baselines
Experience selecting, fine-tuning, and adapting model architectures (CNNs, transformers, foundation models) for specific use cases
Ability to debug training instabilities and conduct systematic error analysis
Proficiency in Python and core ML libraries:
Strong software engineering practices:

Benefits

Comp & perks

* Buzz Solutions does not provide Visa sponsorship for work authorizations in the United States at this time *

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningcomputer visiondeep neural networkshyperparameter tuningerror analysismodel architecturesdata pipelinesmodel servingPythonML libraries

Soft Skills

communicationproblem-solvinganalytical thinkingattention to detailcollaboration