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Senior AI Developer

Unlock employer Dubai, United Arab Emirates Posted: 07 Apr 2026

Financial

  • Estimate: $90k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • No Relocation Support
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

FADA is seeking a Senior AI Developer to design and deploy AI and machine learning 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.

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Responsibilities:

  • Create models for object detection, segmentation, image translation, point cloud classification, time-series forecasting, and vision transformers.
  • Fine-tune geospatial and general foundation models using methods such as LoRA and QLoRA.
  • Build LLM and VLM workflows and develop agent systems for reasoning, planning, and tool use.
  • Generate geospatial embeddings, build knowledge graphs, and develop NLP pipelines.
  • Evaluate architectures and support AutoML initiatives.
  • Build AI pipelines on Azure and deploy models using Docker, Kubernetes, Helm, vLLM, Triton, TorchServe, FastAPI, Ollama, and LocalAI.
  • Optimize models with ONNX, TensorRT, quantization, and distillation.
  • Produce architecture documentation and establish MLOps practices such as versioning, tracking, retraining, and monitoring.
  • Adhere to responsible AI practices, ensure explainability, and comply with defense requirements.

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.
  • Expected to demonstrate strong engineering practices.

Preferred Skills:

  • Experience with 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.

Work Conditions:
Full-time, on-site in the United Arab Emirates.

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