Machine Learning Engineer – Computer Vision & Data Systems
Tasks
- Build retrieval-augmented systems
- Deploy machine learning models with monitoring and evaluation
- Design build maintain large scale data processing workflows
- Develop optimize LLM based agentic systems
- Develop optimize computer vision models
- Improve data quality
- Integrate algorithms into production systems
- Optimize GPU based training and distributed training
- Perform dataset curation and evaluation
- Prototype computer vision models for experiments
- Run large-scale experiments
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | Batch Training | C++ | Computer Vision | Continuous Improvement | Data Validation | Data pipeline | Dataset curation | Deep learning | Distributed Computing | Distributed Training | ETL | GPU Optimization | Image Segmentation | Image understanding | LLM | Large Batch Training | Model Evaluation | Model Monitoring | Multi-view Geometry | Multimodal Learning | Object Detection | Prompt engineering | PyTorch | Python | RAG | Ray | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | TensorFlow | Tracking
Education
Regions
Countries
States
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