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Senior Engineer – Computer Vision Edge Intelligence & Embedded Systems
About the Role We are seeking a highly skilled and experienced Senior AI & Computer Vision Engineer to lead the
design, development, and deployment of intelligent edge AI systems. This role is pivotal in elevating
our AI team’s capabilities by driving architectural excellence, ensuring adherence to best practices in
AI/ML and computer vision, and enabling scalable, efficient, and robust edge deployments on low-
power hardware platforms such as NVIDIA Jetson and Orin series devices.
The successful candidate will be responsible for end-to-end solution design—ranging from model
selection and optimization to MLOps integration and real-time inference deployment—while
maintaining strict performance, power, and latency constraints typical of edge environments.
Key Responsibilities • Architect and implement high-performance, low-latency AI/Computer Vision systems
tailored for edge deployment on NVIDIA Jetson and Orin platforms.
• Lead the selection, development, and optimization of computer vision models (e.g., object
detection, segmentation, tracking) for real-time inference under constrained power and
compute budgets.
• Design and manage MLOps pipelines for model training, validation, continuous integration,
and deployment to edge devices, ensuring reproducibility, version control, and monitoring.
• Conduct hardware-software co-design to balance performance, power consumption, and
thermal efficiency in embedded systems.
• Evaluate and recommend optimal hardware configurations, software frameworks (e.g.,
TensorRT, ONNX, OpenCV), and inference engines for edge deployment.
• Mentor junior engineers on AI best practices, model architecture, and edge deployment
strategies to elevate team capability.
• Define and enforce standards for model accuracy, inference speed, memory footprint, and
energy efficiency across all edge AI projects.
• Collaborate with cross-functional teams (hardware, firmware, product) to integrate AI
solutions into production systems with minimal latency and maximum reliability.
Required Qualifications & Experience • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or related field;
Master’s or PhD preferred.
• Minimum 5 years of hands-on experience in AI/Computer Vision, with at least 3 years
focused on edge AI and embedded systems.
• Deep expertise in computer vision algorithms (e.g., YOLO, EfficientDet, SegFormer, Pose
Estimation) and model optimization techniques (quantization, pruning, distillation).
• Proven experience deploying AI models on NVIDIA Jetson (e.g., Jetson Nano, TX2, AGX Orin)
and Orin series devices.
• Strong proficiency in MLOps tools and workflows (e.g., MLflow, Kubeflow, CI/CD for AI, model
registry, containerization with Docker).
• Experience with inference engines (TensorRT, ONNX Runtime) and low-level optimization for
power efficiency.
• Familiarity with real-time systems, latency-sensitive applications, and power-aware design
principles.
• Demonstrated ability to lead technical design, conduct peer reviews, and guide team-wide
technical standards.
• Excellent communication skills and ability to translate technical concepts for stakeholders.
Mandatory Skills • Experience with edge AI frameworks (e.g., NVIDIA DeepStream, OpenVINO, TensorFlow Lite).
• Knowledge of hardware acceleration (e.g., CUDA, Tegra, NPU) and thermal management
strategies.
• Experience in autonomous systems, robotics, or smart vision systems in industrial or
consumer applications.
Senior Budgeting & Reporting Officer AED 25,000 + family medical + air ticket + schooling allowance
Our client, a diversified family office is looking to recruit a Senior Budgeting & Reporting Officer that will sit within the corporate office.
Responsibilities:
- Lead annual budgeting and forecasting across business units
- Prepare and manage budget calendar and planning process
- Compile departmental and capital budgets
- Conduct variance analysis and monitor budget performance
- Partner with business units to support budget implementation
- Prepare MIS and management reporting for leadership
- Develop monthly, quarterly, and annual financial reports (IFRS compliant)
- Provide financial analysis and insights for decision-making
- Monitor budget transfers and ensure policy compliance
- Improve budgeting processes and reporting efficiency
- Support monthly cash flow forecasting
- Deliver timely finance reports to stakeholders
- Provide guidance and training on budget management processes
Requirements:
- CPA / CIMA / CA qualified
- 8–10 years’ experience in budgeting, reporting, and financial systems
- Strong MIS and management reporting experience
- Experience across multiple industries / diversified businesses
- Experience leveraging AI tools for financial analysis and reporting
- Strong business-wise cash flow analysis and forecasting experience
- Excellent stakeholder management skills
A premium, international executive services provider is seeking a Business Development Manager to lead its expansion into the UK market.
This is a founding commercial hire, offering a rare opportunity to build a client base from the ground up within a well-established business that already operates across multiple international markets.
The role is suited to a commercially driven individual with an existing network and deep understanding of corporate travel, executive services, or high-touch B2B environment
I am seeking a proactive and highly capable Executive Assistant to support a senior leader within a dynamic, international organisation.
This is a broad and varied role that goes beyond traditional EA responsibilities, offering exposure to senior leadership and involvement in key business activities and projects.
We are pleased to be exclusively working with our client in Abu Dhabi who are looking for a Group Reporting Manager to join the team. This role is based full time in Abu Dhabi and is the right role for an ambitious, career driven individual.
This is a standalone contributor role offering a monthly salary of AED 30,000–35,000 plus competitive benefits.
Key responsibilities:
- Ensure financial reports are accurate, timely and compliant with IFRS.
- Prepare and review monthly, quarterly and annual financial statements.
- Oversee the consolidation of financial statements across multiple subsidiaries.
- Prepare Group reporting and related consolidation requirements.
- Ensure compliance with applicable laws, regulations and accounting standards.
- Oversee consolidation, group reporting and tax processes within an ERP environment.
- Adhere to strict reporting deadlines.
Person:
- ACA / CA qualification is essential
- 3–4 years experience within a Big 4 firm
- Must have corporate experience from a large complex organisation
- Demonstrable and applied experience of IFRS standards
- Background in ERP-based financial consolidation and reporting is essential
- Highly motivated, detail-oriented, and able to operate independently
- Willingness to be based full-time in Abu Dhabi
Package:
- Salary: 30,000 - 35,000 per month
- Competitive package
Thank you for your application. Only suitable candidates will be contacted.
Please note that by applying to this role, your profile will be searchable in our database. Our Recruiters will contact you should another suitable role become available.
An established creative and digital agency is seeking a Brand Partnerships Manager who has Influencer Marketing Sales experience to drive strategic collaborations with brands, platforms, creators, and external partners across the UAE and wider GCC region.
This role focuses on identifying new revenue opportunities, developing partnership strategies, and building relationships that strengthen the agency’s commercial offering and creative output.
The ideal candidate will combine strong commercial instincts with relationship-building skills and a deep understanding of brand storytelling, digital marketing trends, and the influencer ecosystem.
Our client is an international organisation operating within the professional training, events and knowledge sectors. They work with businesses and professionals across a range of industries, providing specialist learning programmes, insights and networking opportunities that help organisations develop capabilities and improve performance.
With a global presence and teams working across multiple regions, the organisation delivers a wide portfolio of training solutions, including both in-person and virtual programmes.
The company works closely with client organisations to identify their business and training requirements, collaborating with subject matter experts to develop tailored learning programmes and solutions.
We are seeking a highly skilled Senior AI Engineer [UAEN] to lead the strategy, design, deployment, and optimization of advanced AI systems. This is a hands-on, technical leadership role responsible for driving machine learning (ML), computer vision, large language model (LLM), and MLOps initiatives. The ideal candidate brings deep expertise across the AI stack—from model architecture to deployment—and thrives in a collaborative, cross-functional environment.
Key Responsibilities
- Design, develop, and train advanced computer vision models including CNNs, Vision Transformers, and diffusion models for tasks such as image/video understanding, segmentation, and generation.
- Architect and implement on-premise large language models (LLMs) using platforms like Ollama, OpenWebUI, and PrivateGPT. This includes fine-tuning, quantization, and secure deployment.
- Optimize LLM pipelines for tasks like translation, summarization, semantic search, and prompt-based reasoning, ensuring performance, latency, and cost efficiency.
- Build and productionize retrieval-augmented generation (RAG) systems using frameworks such as LangChain and vector databases (e.g., Pinecone, FAISS, Milvus).
- Establish and maintain robust MLOps practices, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, monitoring, and automated retraining.
- Develop and maintain REST and GraphQL APIs to serve ML models, manage inference workflows, and integrate with end-user applications.
- Lead edge AI deployments on platforms such as NVIDIA Jetson, focusing on performance-optimized, low-latency inference at the edge.
- Drive training and inference performance improvements using distributed training, mixed-precision computing, model parallelism, and tools like TensorRT, ONNX Runtime, and DeepSpeed.
- Collaborate with stakeholders—product managers, engineers, QA, and operations teams—to translate requirements into AI-driven solutions.
- Mentor junior engineers and promote best practices in experiment tracking, reproducibility, and knowledge sharing.
- Create technical documentation, proof-of-concept prototypes, performance benchmarks, and cost analyses to support decision-making.
Required Technical Skills and Experience
- Bachelor's or Master’s degree in Computer Science, Engineering, AI/ML, or related field (PhD preferred).
- Minimum 5 years of experience in building and deploying computer vision models using TensorFlow and PyTorch.
- Experience with on-prem LLM hosting and customization (Ollama, PrivateGPT, OpenWebUI).
- Strong understanding of LLM applications including summarization, translation, prompt engineering, and semantic search.
- Experience in RAG system development, vector databases, and embedding techniques.
- Solid MLOps background: Docker, Kubernetes, CI/CD, model monitoring (Prometheus, Grafana), and automation.
- Strong proficiency in Python and relevant ML libraries.
- Experience deploying models to edge devices (e.g., Jetson, ARM).
- Expertise in model optimization techniques (quantization, pruning, mixed precision) and performance tuning.
- Familiarity with cloud and hybrid infrastructure (AWS, Azure, GCP).
Desirable Qualifications
- Experience in regulated or security-sensitive environments with knowledge of data privacy, secure AI deployment, and governance.
- Familiarity with tools for model monitoring, drift detection, and explainability.
- Background in AI R&D or productization of machine learning systems in industry.
Key Competencies
- Strategic thinking and hands-on execution
- Technical leadership and team mentorship
- Strong cross-functional communication
- Problem-solving and delivery under tight timelines
- Commitment to high-quality, reproducible AI development
Performance Metrics
- Time to production for POCs and models
- SLA-based model performance (accuracy, latency, uptime)
- Inference cost reduction and throughput gains
- Successful documentation and deployment handover
- Edge rollout success and reliability
Working Conditions and Benefits
- Fast-paced, multidisciplinary R&D environment
- Competitive compensation and benefits
- Professional development allowance
- Opportunities to lead and shape strategic AI initiatives
Thank you for your application. This role is for UAE Nationals only. Only suitable candidates will be contacted.
Please note that by applying to this role, your profile will be searchable in our database. Our Recruiters will contact you should another suitable role become available.