Senior AI Engineer (Services)
SundusUnited Arab Emirates1 day ago
Full-timeEngineering, Information Technology
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Role: JPC - 5424 - Senior AI Engineer (Services)
Location Abu Dhabi
Must‑Have Qualifications
Languages/Frameworks: Python (FastAPI), Node.js/.NET (nice‑to‑have)
ML/AI: PyTorch, Hugging Face, OpenCV, Tesseract/PaddleOCR, ONNX Runtime, TensorRT, Triton Inference Server, vLLM
Data/Messaging: Kafka/RabbitMQ, Redis, PostgreSQL, Vector DB (Milvus/FAISS/pgvector)
MLOps/DevOps: GitHub Actions/Azure DevOps, Docker, Kubernetes, Helm, DVC, MLflow/Weights & Biases, OpenTelemetry, Prometheus, Grafana
Cloud: Azure (AKS, ACR, Key Vault, Event Hubs, Cosmos/PG), or AWS/GCP equivalents
Location Abu Dhabi
Must‑Have Qualifications
- Master’s degree in AI/ML, Computer Science, or related field.
- 4–6+ years total software/ML engineering; 3+ years building production AI services.
- Team leadership experience (direct people management or tech‑lead for 3–8 engineers).
- Track record delivering 1–2 large, end‑to‑end AI projects (from data to deployed service) with real usage.
- Strong in Python and microservice frameworks (FastAPI/Flask), Docker, Kubernetes, and Git.
- Experience with message/streaming (Kafka/RabbitMQ), Redis, PostgreSQL, and vector databases (e.g., FAISS, Milvus, pgvector).
- Proficient with PyTorch / Transformers, OpenCV, PaddleOCR/Tesseract; familiarity with LLMs and prompt/guardrail techniques.
- Solid grasp of testing (unit/integration), CI/CD, and inference optimization (ONNX/TensorRT/quantization/batching).
- Cloud experience (preferably Azure; AWS/GCP also fine) and infrastructure-as-code (Terraform/Bicep).
- Arabic Language NLP Experience.
- Experience with RAG architectures, retrieval evaluation, and safety/guardrails.
- Knowledge of event‑driven architectures, API gateways, and service mesh (e.g., Istio/Linkerd).
- Familiarity with data engineering (Airflow/Prefect, Delta/Lakehouse) and feature stores (Feast).
- Experience with cost monitoring (FinOps) and SLO‑driven governance.
Languages/Frameworks: Python (FastAPI), Node.js/.NET (nice‑to‑have)
ML/AI: PyTorch, Hugging Face, OpenCV, Tesseract/PaddleOCR, ONNX Runtime, TensorRT, Triton Inference Server, vLLM
Data/Messaging: Kafka/RabbitMQ, Redis, PostgreSQL, Vector DB (Milvus/FAISS/pgvector)
MLOps/DevOps: GitHub Actions/Azure DevOps, Docker, Kubernetes, Helm, DVC, MLflow/Weights & Biases, OpenTelemetry, Prometheus, Grafana
Cloud: Azure (AKS, ACR, Key Vault, Event Hubs, Cosmos/PG), or AWS/GCP equivalents
Key Skills
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