AI Engineer
Tasks
- Build anomaly detection and failure prediction models
- Collaborate with hardware teams for edge deployment
- Create reinforcement learning algorithms for charging grid balancing energy arbitrage
- Demonstrate AI capabilities to customers and partners
- Design deploy machine learning models for battery state estimation degradation prediction performance optimization
- Develop monitoring and observability for production ML
- Develop physics informed neural networks architectures
- Develop time series forecasting models for energy demand supply pricing
- Ensure AI safety and regulatory compliance
- Implement AI features with product teams
- Integrate physical constraints into neural networks
- Process sensor data with data pipelines
- Support model research and publish at conferences
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Development | AWS | Automated Evaluation | Azure | B testing | Chroma | Computer Vision | Context learning | Control Systems | Dask | Data Modeling | Distributed Computing | Embeddings | Experiment tracking | Few-Shot Learning | Few-shot | Fine Tuning | Foundation Models | GCP | Hugging Face | Hugging Face Transformers | In-context Learning | Kubeflow | Langchain | LoRA | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model Serving | Model versioning | Ollama | Open Source | Open source foundation models | Optimization Algorithms | PEFT | Physics-informed machine learning | Pinecone | Prompt engineering | PyTorch | Python | Q LoRA | RAG | Ray | Retrieval-Augmented Generation | Scientific Computing | Series analysis | Signal Processing | Spark | TensorFlow | Text Generation | Text generation inference | Time Series | Time Series Analysis | Transformers | VLLM | Vector Databases | Vector Search | Weaviate
Education
Roles
AI | AI Engineer | Engineer
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