What Jobs are available for Iot in the United Arab Emirates?

Essential Job Functions: • Manage the day to day operational activities for a team of IoT Engineers
• Monitor the SLA for Incidents and follow up with staff on status and remove obstacles that may be preventing prompt resolution of incidents
• Facilitate and Coordinate conversations and efforts involving diverse teams: system administration, database administration, networking
• Responsible for all hardware and software batches
• Acquire understanding and create documentation for complex technical environments
• Maintain and improve customer satisfaction ratings
• Ensure best practices for support and problem management are adopted and practiced
• Identify opportunities for process improvement to address operational inefficiencies through the use of metrics and reporting
• Lead operational staff to meet defined SLAs etc.
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Job Purpose:

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proven hands-on experience in ML model training and production deployment .
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration .
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• End-to-end ownership of ML model lifecycle.
• Strong analytical and problem-solving skills.
• Ability to bridge technical solutions with business impact.

Overview

SINEVIS is seeking a Security Consultant specializing in Cyber‑Physical, OT and IoT security, with experience in Nozomi Networks solutions. In this role, you will architect and implement advanced security solutions across industrial environments, ensuring robust defense against cyber threats. You’ll lead the deployment of Nozomi Networks sensors and platforms, define OT‑specific policies, support compliance, and drive global rollouts across critical infrastructure and manufacturing environments.

• 5+ years in cybersecurity design and implementation within ICS/OT environments.
• Deep knowledge of OT network architectures and communication protocols: Ethernet, Modbus, OPC, IEC‑101/104, DNP3.
• Familiarity with NIST SP 800‑82, IEC 62443, NIS/NIS2, NERC CIP, SEC Cybersecurity Rules
• Lead the planning, deployment and operations of OT security platforms (particularly Nozomi Networks) across sites – ranging from asset discovery and network visibility to threat detection.
• Experience in deploying and managing Nozomi Networks solutions for Cyber-Physical Systems Visibility & Security
• Experience with SIEM integration, security event monitoring, anomaly detection, and threat identification, especially within OT contexts.
• Skilled in deploying OT-specific use cases, crafting monitoring rules and defining security policies within Nozomi to surface anomalies, threats, and compliance deviations.
• Familiarity with major industrial control system vendors such as Siemens, Rockwell, Schneider Electric, Honeywell.
• Requires onsite travels.

• Operational Technology (OT) specific qualifications / training (e.g., IEC 62443, GIAC GICSP or GRID, SCADA/ICS security).
• Certifications in Nozomi Networks technologies such as NNSA (Security Analyst) or NNCE (Certified Engineer) are a strong plus.
• Demonstrated history of integrating cybersecurity into OT systems while balancing uptime, safety, and operational constraints.
• Experience with cross-functional delivery working closely with engineering, operations, SOC teams and clients.
• Strong analytical and problem-solving skills.
• Ability to present and discuss technical information to users with varying technical expertise.