Senior AI developer
Tasks
- Build AI pipelines on Azure
- Build agentic AI systems for reasoning planning and tool use
- Build knowledge graphs
- Build point cloud classification and time series forecasting models
- Create deep learning models for object detection segmentation and image translation
- Deploy models with Docker Kubernetes and Helm
- Design and deploy AI and machine learning models
- Develop LLM and VLM workflows
- Develop NLP pipelines
- Ensure responsible AI explainability and compliance
- Evaluate AI architectures
- Fine-tune foundation models
- Generate geospatial embeddings
- Implement MLOps for versioning tracking retraining and monitoring
- Optimize models with ONNX TensorRT quantization and distillation
Perks/Benefits
- N/A
Skills/Tech-stack
Automl | Azure | DPO | Distributed Training | Docker | FastAPI | GPU Acceleration | Helm | Human Feedback | Image Segmentation | Image translation | Inference Server | Knowledge graphs | Kubernetes | Language Models | Large Language Models | Learning from Human Feedback | LoRA | LocalAI | MLOps | Model Monitoring | Model versioning | NLP | NumPy | ONNX | Object Detection | Ollama | Pandas | Point Cloud | Point cloud classification | PyTorch | Python | Q LoRA | Quantization | RAG | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scikit-learn | Series forecasting | TensorFlow | TensorRT | Time Series | Time Series Forecasting | Torchserve | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Vision Language Models | Vision Transformers | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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