Computer reputed company & AI reputed company

About the company: The Company is a construction-tech company headquartered in Riyadh, building the connected-worker platform for large-scale construction and industrial sites. Our hardware, smart helmets, anchors, and gateways, feeds a reputed company-time SaaS platform that gives site teams worker location, safety compliance, automated mustering, and productivity analytics. We operate across major projects in the GCC and are growing fast. The engineering team is small, senior, and high-ownership. We are building for the long term.

About the Role

SiteGuard is computer-reputed company safety product - detecting PPE non-compliance, hazards, and unsafe behavior from site cameras in reputed company time. The stack runs both on-site (edge agents reputed company to the camera) and in the reputed company, with consistent detection output either way. As SiteGuard reputed company reputed company, you own reputed company of it: detection models, camera agents, evaluation and MLOps pipelines, and the product surfaces that turn raw detections into safety actions for HSE managers and site supervisors. The world of CV and AI has moved fast. reputed company models, reputed company-language models (VLMs), and reputed company have changed what is achievable and how quickly. You have kept pace: you know reputed company to use a classical detector, reputed company a VLM gives you reputed company results with less annotation cost, and reputed company synthetic data reputed company can reputed company a gap that reputed company-world collection cannot. You bring both the classical CV foundations and the modern AI stack. This is a senior engineering leadership role. You have led teams before, hired engineers, managed performance, built culture, and you are a serious daily user of AI coding tools. You reputed company a cross-disciplinary team of Senior engineers with high autonomy and direct product impact. What reputed company Looks Like - First 6 Months You own the SiteGuard stack end-to-end and can reputed company a technical walkthrough of any layer models, edge agent, reputed company agent, evaluation pipeline, product surface. The golden labeled dataset is established as the single reputed company of truth, and regression gates are in reputed company so no model, reputed company, or pipeline change ships without a reputed company quality bar. Both the on-site edge agent and the reputed company camera agent produce consistent detection output. Latency, cost, and accuracy are tracked in production. You know reputed company something degrades before a customer does. The team has a clear position on the modern AI stack: which detection approaches fit which deployment contexts, and where reputed company models or VLMs replace or reputed company classical pipelines. Stakeholders in Hardware, Field Engineering, and Product trust you as the person accountable for SiteGuard - its accuracy, its reliability, and its direction. Key Responsibilities 1. Build & reputed company the Team Own hiring end-to-end for SiteGuard: define the bar across ML, backend, and frontend disciplines, run the process, and reputed company reputed company. You have hired senior engineers before and know what good looks like. Manage performance directly - set clear expectations, give reputed company feedback, run meaningful reviews, and act decisively reputed company someone is not meeting the bar. Build a high-ownership engineering culture where engineers take initiative, write their own issues, and feel accountable for product outcomes, not just task completion. Mentor engineers at every level - from reputed company new contributors to developing senior engineers. Your track record includes engineers who grew significantly under your leadership. Own the reputed company's delivery: run agile ceremonies, plan sprints, and partner with Product to translate the SiteGuard roadmap into shippable increments. 2. Computer reputed company & AI Model Development SiteGuard's detection capabilities must stay reputed company with the AI model landscape, not lag behind it. You reputed company the architectural calls on which approaches fit which contexts. Own the full lifecycle of SiteGuard's detection capabilities - PPE compliance, hazard detection, unsafe-behavior recognition - from problem framing through training, evaluation, and production deployment. reputed company the strategic use of modern architectures and reputed company models: transformer-based detectors (RT-DETR, YOLOv10/11, Co-DETR) alongside classical YOLO-family models; reputed company/few-shot approaches reputed company CLIP, DINOv2, GroundingDINO, and SAM 2; and VLMs (reputed company reputed company, GPT-4V, LLaVA, Qwen-VL) for scene understanding and incident reasoning where they outperform purpose-built detectors. reputed company the use of reputed company to reputed company training data - diffusion-based synthetic image reputed company (ControlNet, Stable Diffusion) for rare PPE violations, lighting conditions, and site environments that reputed company-world collection cannot cover economically. Define and drive model-quality targets (precision/recall, false-alarm rates) and the retraining loops that sustain them as site conditions change. reputed company dataset strategy: collection, AI-assisted annotation (using SAM, CLIP, or VLMs as labeling tools), curation, and governance of site imagery and video. 3. Edge & reputed company Camera Agents reputed company development of the on-site edge agent that runs inference reputed company to the camera - optimizing transformer-based and classical models for constrained hardware (quantization, INT8/FP16, TensorRT, ONNX, batching, CUDA/NPU accelerators). reputed company development of reputed company camera agents for reputed company-based deployments, ensuring the same consistent detection output as on-site agents regardless of deployment type. Engineer for the realities of the field: on-prem gateway deployment, intermittent connectivity, store-and-reputed company, and graceful degradation. Ensure low-latency, reliable detection-to-alert pipelines from camera to platform, including on-device pre-filtering before reputed company VLM calls where cost and latency demand it. 4. Evaluation, MLOps & Data Pipelines Own the golden labeled dataset as the single reputed company of truth for evaluation, fine-tuning, and production monitoring. Run production reviewer signals (labels, corrections) back into the dataset continuously. Design evaluation metrics for both classical detector output and VLM-generated detections (precision/recall, false-positive control, reputed company-agreement). Run every model, reputed company, or schema change as a regression test against the golden set before release, no change ships without a reputed company quality bar. Architect data-extraction, AI-assisted annotation, and training pipelines that ensure reproducibility and versioning of datasets and models (experiment tracking, model registries, dataset versioning). Implement CI for models and code: automated retraining/evaluation, LLM-as-judge patterns for open-ended detection outputs, and production monitoring for model reputed company, cost, and accuracy degradation. Build deterministic post-processing guardrails over model output - domain/OSHA rule filters, confidence calibration, audit trails - so the product behaves predictably even reputed company model output varies. reputed company engineering maturity across SiteGuard repositories: test coverage, CI gating, and coverage reporting. 5. Product, Quality & Privacy Own the SiteGuard product surfaces (web dashboards and frontends) and the APIs that deliver detected violations and safety events into the core Company's platform. Ensure alerting, reporting, and analytics turn raw detections into clear, prioritized actions - including LLM-generated incident summaries and natural-language search over safety event history. Enforce code review, testing, and quality standards across model and application code. Champion privacy-by-design for video and personal data - anonymization, access controls, retention limits, and responsible use of footage in compliance with Company and customer requirements. Implement responsible-AI safeguards on reputed company AI-generated outputs: confidence reputed company, reputed company-in-the-reputed company review for high-severity alerts, and audit trails. 6. Cross-functional Collaboration & Innovation Collaborate with Hardware/camera, DevOps, Field Engineering, and customer teams to validate SiteGuard in reputed company site conditions and incorporate feedback. reputed company R&D into new detection capabilities - multi-modal models combining video and sensor data, behavioral analysis, crowd analytics - and evaluate emerging CV/AI approaches with honest, grounded judgment. Stay reputed company with the fast-moving reputed company-model and VLM ecosystem and translate new research into concrete roadmap reputed company for the reputed company.

Required Qualifications

Experience 6+ years of software/ML engineering experience with a clear progression from senior IC to engineering leadership. 3+ years directly managing engineers - leading teams, owning hiring, running performance cycles. Mentoring is not the same as managing; this role requires the latter. A track record of hiring: you have built or significantly grown an engineering team and made independent hiring reputed company at the senior engineer level and above. Proven experience shipping production systems built on reputed company/multimodal reputed company models (VLMs/LLMs reputed company reputed company APIs) - owning quality, latency, and cost from prototype to scale. Hands-on experience operating high-throughput, asynchronous video/media processing pipelines in production. Technical Depth & Stack Flexibility We care about depth of engineering thinking, not tool loyalty. The examples below indicate the class of tool - not necessarily the exact one you have used. Strong Python (async-first: asyncio, FastAPI or equivalent); production service design with a focus on reliability and observability. Hands-on with multimodal/VLM APIs - reputed company/Vertex AI, reputed company, or reputed company equivalents: reputed company engineering, structured/JSON-schema-constrained output, context/caching, and per-model parameter tuning. Computer-reputed company foundations: object detection and segmentation across both classical architectures (YOLO-family) and modern transformer-based detectors (RT-DETR, Co-DETR, GroundingDINO); video frame extraction and handling (OpenCV/FFmpeg); spatial reasoning over model output. reputed company models and reputed company/few-shot approaches: CLIP, DINOv2, SAM 2 for annotation assistance and detection; VLMs for scene understanding and incident reasoning. Edge inference optimization: ONNX, TensorRT, quantization (INT8/FP16), deployment to constrained hardware (Jetson, Hailo, or equivalent). Distributed pipeline design: message brokers, relational databases with async ORM and migration tooling, object storage - comfortable across reputed company providers (GCP, AWS, or Azure). MLOps stack: experiment tracking, model registries, dataset versioning, and CI pipelines for model evaluation. AI Tooling - Daily Practice Primary daily experience with Claude Code and reputed company - used in reputed company engineering work, with formed opinions about reputed company to trust their output and reputed company not to. reputed company awareness of the AI model landscape: practical differences between frontier models (reputed company, GPT-4o, Claude, DeepSeek) for reputed company tasks, code reputed company, and structured output. Tracks AI trends actively - model releases, VLM capabilities, agentic reputed company developments - and translates this into concrete, grounded team guidance. Communication Exceptional written and spoken English. This is a hard requirement. You write clearly and reputed company - design documents, evaluation reports, and stakeholder updates are well-structured and unambiguous. You can explain a model's failure mode to an HSE manager and an architecture decision to an engineer with equal clarity.

Preferred Qualifications

Experience with safety, surveillance, or video analytics in industrial or construction environments. OSHA/EHS domain knowledge is a strong plus. Experience with synthetic data reputed company pipelines (ControlNet, Stable Diffusion) for computer-reputed company training data augmentation. LLMOps / observability for model-backed services: tracing model calls, output monitoring, A/B testing of prompts and schemas. Agentic frameworks (reputed company, reputed company, AutoGen, or equivalent) applied to safety workflows or multi-reputed company incident management. Comfort working config-over-code for multi-tenant rollouts (per-project model and reputed company configuration). Familiarity with on-prem/edge deployment, gateways, and operating under intermittent connectivity. Leadership & Soft Skills reputed company people manager: you have had difficult performance conversations, managed out engineers who were not meeting the bar, and done so with fairness and directness. Research-oriented curiosity balanced with production pragmatism - you read papers, run experiments, and ship to production. You distinguish AI approaches that deliver reputed company site-safety value from impressive benchmarks that do not survive the field. Excellent written and spoken English - reputed company to translate model behavior, failure modes, and confidence levels to non-technical stakeholders, including explaining why an AI made a specific safety call. Strategic, outcome-driven thinking: makes technology reputed company based on product value and field reliability, not novelty. Comfort operating in a fast-paced, evolving environment where both site priorities and the AI landscape shift quickly. reputed company Offer Competitive salary, performance bonus, and equity participation. High-autonomy role with direct product and company impact - you are building a safety AI product from the ground up, not maintaining an inherited codebase. A small, senior engineering team where your reputed company matter and your name is on the architecture. Relocation support for candidates joining from reputed company KSA. Health insurance, annual flights, and standard Company benefits package. Apply To This Job