Senior Machine Learning Engineer, MLE
Tasks
- Build real time sensing capabilities
- Build traffic foundation models for ETA planning
- Construct L3 L4 intelligent processing pipelines
- Define experiments with product and engineering teams
- Design real-time and batch data pipelines
- Develop route planning and navigation algorithms
- Develop visual based traffic event perception models
- Implement model monitoring and data quality checks
- Optimize navigation experience
- Transform raw noisy data into features and datasets
Perks/Benefits
- Family Support Programme
- Flexible work
- Health programs
- Maternity leave
- Medical insurance
- Paternity leave
- Term life insurance
- Wellbeing initiatives
Skills/Tech-stack
AWS | Algorithms | Azure | Batch Processing | Data Analysis | Data Processing | Data Quality | Data Structures | Data quality monitoring | Deep learning | Experiment design | Flink | Golang | Kafka | Machine Learning | Microservices | Model Monitoring | Quality monitoring | RAG | Spark Streaming | Streaming Data | Streaming data processing
Education
N/A
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