Sr Advanced AI Engineer
USD 133K-166K (estimate) Senior-level Full Time
Tasks
- Build real time decision making algorithms using sensor and IoT data
- Convert and optimize models for efficient inference
- Coordinate deployment strategies scalability and monitoring
- Design and integrate AI ML models into building management systems and industrial control systems
- Develop model feedback loops for continuous learning
- Develop training pipelines with model registries and tracking
- Ensure AI solutions comply with cybersecurity standards and industrial safety protocols
- Implement ETL workflows and data preparation for building and industrial datasets
- Implement real time API based and batch inference workflows
- Lead proof of concept initiatives
- Maintain training and inference repositories for security compliance
- Mentor junior engineers
- Optimize real time inference across platforms
- Perform feature engineering for modeling
Perks/Benefits
- 401k match
- Dental insurance
- Educational assistance
- Employee assistance program
- Flexible spending accounts
- Health savings accounts
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AKS | AWS | Autonomous control | Azure | CI/CD | Computer Vision | Databricks | Digital Twins | Foundation Models | GCP | GKE | Generative AI | JAX | Kubernetes | Language Processing | MLOps | MLflow | MicroK8s | Model Quantization | Multimodal Foundation Models | NVIDIA Triton | Natural Language | Natural Language Processing | ONNX | ONNX Runtime | PySpark | PyTorch | Python | Reinforcement Learning | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | TorchScript | VLLM | XGBoost
Education
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