AI Developer

About
The company is seeking an AI Developer to design and deploy AI and ML capabilities for geospatial intelligence across cloud and air-gapped environments. The role includes developing deep learning models, fine-tuning foundation models, building agentic AI systems, and supporting mission operations.

Responsibilities

• Creating models for object detection, segmentation, image translation, point cloud classification, time-series forecasting, and vision transformers.
• Fine-tuning geospatial and general foundation models using methods such as LoRA and QLoRA.
• Building LLM and VLM workflows and developing agent systems for reasoning, planning, and tool use.
• Generating geospatial embeddings, building knowledge graphs, developing NLP pipelines, evaluating architectures, and supporting AutoML.
• Building AI pipelines on Azure and deploying models using Docker, Kubernetes, Helm, vLLM, Triton, TorchServe, FastAPI, Ollama, and LocalAI.
• Optimizing models with ONNX, TensorRT, quantization, and distillation.
• Producing architecture documentation and establishing MLOps practices such as versioning, tracking, retraining, and monitoring.
• Ensuring responsible AI practices, explainability, and compliance with defense requirements are met.

Qualifications

• Degree in a relevant field.
• 5 or more years of Python deep learning experience.
• Strong skills in PyTorch, TensorFlow, scikit-learn, NumPy, and Pandas.
• Experience with foundation models, geospatial models, agentic AI frameworks, Azure deployment, offline model hosting, NLP tasks, and API development.
• Strong engineering practices are expected.

Preferred Skills

• RAG, vector databases, geospatial embeddings, knowledge graphs, open-weight model deployment, RLHF or DPO, GeoAI, satellite imagery.
• Responsible AI, GPU acceleration, distributed training, model optimization, multisource geospatial data, GIS tools, and defense or national security experience.