Data Scientist Computer Vision - Anomaly Detect... @ Jobs via Dice
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Overview
Dice, the leading career destination for tech experts, presents an opportunity through Empower Professionals for a Data Scientist Computer Vision - Anomaly Detection in Drone Footage role. This remote, 12-month contract is based in Houston, TX.
Role & Responsibilities
You will build computer vision models to detect coating failures and corrosion in industrial assets from drone imagery. You will lead experimentation from dataset curation to model deployment on Azure.
- Own the CV experimentation loop: problem framing, baseline creation, and ablation studies.
- Design data pipelines including ingestion, labeling, quality checks, and augmentation.
- Train and evaluate classification, detection and segmentation models with supervised and unsupervised approaches.
- Implement MLOps using Azure ML/Databricks and experiment tracking with MLflow or W&B.
- Collaborate with domain experts, data scientists, and product teams to refine models and dashboards.
- Enhance performance and robustness by handling domain shifts and optimizing inference for high-resolution frames.
Required Qualifications
Experience in end-to-end ML workflow with data exploration, augmentation, training, evaluation, and deployment is essential. Strong working knowledge in image classification, object detection, or segmentation is required. Familiarity with CV evaluation metrics and Azure tools is a must. A clear communication style and collaborative mindset are important.
Preferred Qualifications
Experience in industrial defect quality control, un/weakly supervised anomaly detection, and CI/CD in Azure is a plus. Knowledge in practical DevOps/MLOps practices, inference optimization, and video stream tracking is also desirable.
Technology Stack
Python, PyTorch, OpenCV, Azure, with tools including MLflow, W&B, YOLO, UNet, and Docker.
Key skills/competency
- Computer Vision
- Anomaly Detection
- Python
- PyTorch
- Azure
- Data Pipeline
- Experimentation
- MLOps
- Collaboration
- Model Deployment
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🎯 Tips for Getting Hired
- Customize Your Resume: Highlight CV and anomaly detection skills.
- Tailor Your Application: Emphasize Azure and MLOps experience.
- Research Empower Professionals: Understand their tech focus and projects.
- Prepare for Technical Questions: Focus on experimentation and data pipeline design.
- Showcase Collaboration: Demonstrate teamwork and communication abilities.