Computer Vision & Machine Learning Engineer
B
BuzzPower Grid AI
Remote, USFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2-5 years of industry experience
- Required Skills
- DockerPythonGitMachine LearningOpenCVPyTorchFastAPIDeep LearningMLOpsComputer Vision
Requirements
- 2-5 years of industry experience in computer vision and machine learning.
- Solid understanding of object detection, semantic segmentation, image classification, and vision transformers.
- Proven experience taking at least one ML model into production and maintaining it.
- Ability to read ML research papers and implement the underlying ideas.
- Proficiency in Python and core libraries: PyTorch, Lightning, OpenCV, NumPy, pandas, and Scikit-Learn.
- Experience with production-grade tools: FastAPI, Pydantic, Docker, and GitHub Actions.
- Strong software engineering practices including Git, unit/integration testing, and type hinting.
- Demonstrated ability to own technical projects independently from framing to deployment.
- Experience with model versioning, experiment tracking, and ML DevOps.
Responsibilities
- Own and deliver end-to-end computer vision projects for defect detection, thermal analysis, and surveillance.
- Scope, plan, and execute projects from problem framing through production deployment and monitoring.
- Translate client requirements and raw data into functional computer vision solutions.
- Read, evaluate, and implement novel algorithms from ML research papers for production viability.
- Design and execute experiments with systematic hyperparameter tuning and ablation studies.
- Build and maintain production-grade Python data pipelines and model serving systems.
- Categorize failure modes and conduct structured error analysis to improve model performance.
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