Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is recruiting for a confidential client seeking a Machine Learning Engineer. The role focuses on training and deploying computer vision or perception models and building sensor-data, ground-truth, annotation, and quality workflows.
Responsibilities
- Build automation for sensor-data ingestion, curation, sampling, annotation preparation, validation, and release
- Train, fine-tune, evaluate, and support deployment of machine learning models for computer vision or perception use cases
- Design camera and LiDAR data collection and ground truth generation pipelines
- Define annotation guidelines, acceptance criteria, and automated checks for label completeness, consistency, and accuracy
- Analyze labeling defects and model-error patterns, then implement corrective actions and measurable quality improvements
- Create reporting for dataset health, annotation quality, model performance, and workflow throughput
- Collaborate with data engineering, annotation operations, quality, and AI teams
Skills
- Demonstrated experience training, fine-tuning, and deploying machine learning models
- Demonstrated experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications
- Experience designing data collection pipelines and ground truth generation workflows
- Demonstrated experience in data annotation and quality assurance for autonomous systems or computer vision projects
- Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable improvements in dataset accuracy
- Strong Python skills and experience automating data validation, model evaluation, and machine learning workflows
- Understanding of computer vision datasets, model metrics, experiment tracking, version control, and deployment practices
- Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication with cross-functional teams
Company Overview
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