Role : JPC - 5424 - Senior AI Engineer (Services)
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.
Nice to Have
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.Tech Stack (indicative)
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 # LI-KS1
Cloud : Azure (AKS, ACR, Key Vault, Event Hubs, Cosmos / PG), or AWS / GCP equivalents