Technical IoT Lead

Our client is a global leader in AI models, streaming technologies, and virtual visualization. Their groundbreaking immersive virtual platform for Expo 2020 Dubai earned global acclaim, attracted over 250 million virtual visitors, and garnered multiple awards for innovation. Join their visionary team to create transformative solutions for smart cities and IoT ecosystems worldwide.

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 organizations long-term vision.
• AI/ML Integration: Leverage AI/ML expertise to enhance IoT solutions whether its 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.
• Strong programming skills in languages such as Python, C/C++, Java, or JavaScript for IoT development.
  
  
  

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.
  
  
  

What They Offer:

• Join a globally recognized leader in IoT innovation and smart city solutions.
• Lead projects that redefine how IoT shapes industries and everyday life.
• A collaborative, cutting-edge work environment fostering growth and creativity.
• Competitive compensation and opportunities for long-term career development.