Technical IoT Lead

We are seeking an accomplished Technical IoT Lead to spearhead the conceptualization, design, development, and deployment of next-generation IoT solutions. You will play a pivotal role in translating business objectives into robust technical strategies and guiding the team in delivering proof-of-concepts (POCs) and prototypes. Moreover, you will oversee the large-scale deployment of successful POCs, ensuring they seamlessly transition from pilot projects to fully operational solutions. Your hands-on expertise in IoT architectures, networking protocols, AI/ML integration, and cloud infrastructure will be essential in driving innovation and ensuring successful project outcomes.

Role location: Office based role in Dubai Expo City

Key Responsibilities:

• Technical Roadmap
• Define IoT Strategy: Collaborate with stakeholders to outline the IoT product and technology roadmap, ensuring alignment with the organization’s long-term vision.
• AI/ML Integration: Leverage AI/ML expertise to enhance IoT solutions whether it’s anomaly detection, predictive maintenance, or intelligent automation.
• Documentation: Maintain clear, comprehensive technical documentation of all IoT deployments, code bases, and research findings.
• Technical Leadership
• Team Guidance: Lead a multidisciplinary team of developers and researchers, providing mentorship in IoT best practices, system architecture, and emerging technologies.
• Innovation & Research: Stay abreast of cutting-edge IoT technologies, AI/ML advancements, and industry trends, ensuring the team remains at the forefront of innovation.
• Solution Translation
• Business-to-Tech Alignment: Work closely with product and business teams to translate complex business requirements into technically feasible IoT solutions.
• Architecture & Specifications: Design system architectures and technical specifications that seamlessly integrate IoT devices, edge computing, cloud services, and data analytics.
• Proof of Concept Development
• Rapid Prototyping: Drive the development of IoT POCs to validate the feasibility and market potential of new ideas, technologies, and sensors.
• Innovation & Testing: Oversee experiments with AI/ML, computer vision, and cloud deployment in diverse IoT applications such as industrial automation, smart buildings, or connected consumer devices.
• End-to-End Development
• Lifecycle Oversight: Manage the entire IoT development lifecycle, from concept and design to deployment on cloud platforms (AWS, Azure, GCP).
• POC Scale-Up: Convert successful POCs into large-scale deployments, overseeing all aspects of scalability, security, and performance.
• Best Practices: Enforce coding standards, testing protocols, security principles, and documentation standards to maintain a high-quality codebase.
• Innovation and Feasibility Studies
• Tech Evangelism: Introduce and champion new methodologies, protocols (e.g., MQTT, CoAP), and edge computing technologies within the team.
• Evaluating Applicability: Conduct feasibility studies to assess how emerging IoT and AI technologies could be integrated into current projects and processes.
• Problem Solving
• Technical Roadblocks: Proactively identify and resolve technical challenges related to IoT connectivity, data integration, and scalability.
• Troubleshooting: Offer expert troubleshooting guidance, ensuring swift resolution of technical issues and minimal project downtime.
• Continuous Learning and Growth
• Skill Development: Foster a culture of continuous learning, encouraging experimentation with new IoT frameworks, cloud services, and AI/ML techniques.
• Team Building: Identify training opportunities and resources for team members to enhance their IoT, AI, and cloud competencies.

Qualifications:

• Masters degree in Electronics, Computer Science, Engineering, or related fields. PhD preferred.
• Deep understanding of IoT protocols (MQTT, CoAP, etc.), embedded systems, edge computing, and sensor integration.
• Proficiency in AI/ML concepts and frameworks, with hands-on experience integrating ML models into IoT environments.

Experience:

• Minimum 6 years of progressive experience in software development and technical leadership, including at least 2+ years directly working with IoT platforms or solutions.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Demonstrated success in scaling IoT POCs to production-level deployments.
• Excellent analytical skills with a history of delivering complex technical solutions.
• Strong communication abilities to convey technical concepts to both technical and non-technical stakeholders.
• Prior experience in an R&D or fast-paced startup environment is mandatory, showcasing a knack for rapid prototyping and agile decision-making.