Technical IoT Lead

Full time at Client of S&K HR Consulting in UAE

Posted on February 8, 2025

Job details

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.

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Technical IoT Lead

Job details

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