Lead Engineer AI/ML - Onsite
USD 108K-165K (estimate) Senior-level Full Time
Tasks
- Build data labeling sampling and augmentation workflows
- Build inference pipelines
- Design machine learning models
- Develop production Python code
- Document model assumptions and production readiness
- Implement model output schemas and event metadata
- Integrate model outputs with apis event streams and dashboards
- Optimize inference performance latency cost throughput reliability
- Optimize model architectures and inference strategies
- Package register deploy and monitor models
- Prepare structured and unstructured data with privacy constraints
- Support responsible AI practices
- Train evaluate preprocess and postprocess models
- Troubleshoot model failures and data drift
- Write automated tests for model code and services
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Agile | Anomaly Detection | Azure AI | Azure AI Services | Azure Machine Learning | Classification | Data Lakes | Databricks | Docker | Forecasting | Generative AI | Git | Language Processing | MLflow | Machine Learning | Message Queues | Natural Language | Natural Language Processing | ONNX | ONNX Runtime | OpenCV | OpenVINO | Optimization | PyTorch | Python | Quantization | REST APIs | Recommendation Systems | Scikit-learn | TensorFlow | TensorRT
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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