Senior AI Engineer

Esbaar — Oman · Posted ~5 hours ago

Senior Full-time

Skills

Computer Vision Object Detection Image Classification Image Segmentation Machine Learning Model Training Model Deployment Data Pipelines Edge AI NVIDIA Jetson Embedded Systems

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Summary ✨ AI‑Generated

A senior AI engineering role focused on building production-grade computer vision systems. You will design, train, evaluate, and optimize models for detection, classification, and segmentation, while owning pipelines from data preparation through inference and deployment. You will also optimize AI workloads for edge devices under real-world latency and resource constraints and translate business needs into measurable technical objectives.

Highlights

Work on real-world computer vision systems spanning data pipelines, model development, edge deployment, and production optimization. The role offers substantial technical ownership and the opportunity to build production-grade AI solutions.

Description

Summary: We are looking for a Senior AI Engineer with a strong focus on Computer Vision to join our technology team. You will work on real-world detection and analysis systems, from data pipeline to model training and deployment. This role plays a key part in delivering AI-driven solutions across our active projects, including edge deployment and production-grade computer vision systems. Responsibilities: Design, train, and evaluate computer vision models (object detection, classification, segmentation) for real production use casesBuild and optimize end-to-end pipelines from data collection and annotation through training, inference, and deploymentDeploy and optimize models on edge devices (e.g. NVIDIA Jetson, embedded platforms) with attention to latency and resource constraintsCollaborate with the technical team to translate business requirements into measurable technical metricsContinuously evaluate model performance and propose improvements based on real production feedbackContribute to AI agent and LLM-based workflows when relevant to ongoing projectsQualifications: 5+ years of hands-on experience in computer vision and applied machine learningStrong practical experience with model training, evaluation metrics (mAP, IoU, precision/recall), and deploymentExperience with edge AI deployment and model optimization (quantization, ONNX, TensorRT, or similar)Proficiency in Python and common deep learning frameworks (PyTorch, TensorFlow)Experience with LLMs, RAG, or agentic AI systems is a strong plusAbility to clearly explain technical decisions and tradeoffs from real project experience