Technical Iot Lead

6 days ago


Dubai, United Arab Emirates S&K HR Consulting Full time

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.
- **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 mínimal 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.
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