Burq is looking for an AI/ML Engineer to help scale their platform and drive innovation in logistics and AI/ML-powered automation.
Requirements
- Design, train, and deploy machine learning models using AWS-native tools (SageMaker, Lambda, Step Functions, S3).
- Collaborate with data engineers to build and maintain robust data pipelines for feature ingestion, ETL, and model training.
- Fine-tune and optimize models for scalability, accuracy, and production readiness.
- Implement MLOps best practices including CI/CD pipelines, model versioning, monitoring, and automated retraining workflows.
- Monitor model performance, detect drift, and implement automated alerts and corrective actions.
- Work with cross-functional teams (product, software, infrastructure) to integrate AI capabilities into user-facing features.
- Share knowledge with the team through code reviews, documentation, and architecture discussions.
Benefits
- Competitive Salary
- Stock Options
- Performance-based Bonuses
- Fully Remote
- Comprehensive Medical, Vision and Dental Insurance