Our Client is looking for the following profile :
In a world where artificial intelligence is revolutionizing industries, we are at the heart of innovation, transforming cutting-edge AI concepts into real-world applications. Our advanced innovation lab serves as a testing ground for developing and optimizing intelligent systems that bridge the gap between digital intelligence and physical environments. From edge computing and robotics to industrial automation, we design high-performance solutions that bring AI to life in practical, impactful ways.
Our mission is to ensure that AI isn’t just theoretical—it’s functional, reliable, and ready to solve real-world challenges. By combining state-of-the-art technology with hands-on experimentation, we create systems that are efficient, scalable, and tailored to meet the needs of modern industries.
Your Role: AI Systems Integration Specialist
As an AI Systems Integration Specialist, you’ll be at the forefront of designing, testing, and deploying intelligent systems. Your key responsibilities will include:
- Leading the Innovation Lab: Manage the development, testing, and optimization of AI-powered systems to ensure seamless performance and reliability.
- Client Engagement: Provide pre-sales support, deliver product demonstrations, and offer technical consultations to clients and partners.
- Customized Solutions: Collaborate with cross-functional teams to design tailored AI solutions, with a focus on hardware and software integration.
- Training and Enablement: Conduct workshops and training sessions to empower clients to integrate, configure, and maintain AI systems effectively.
- Problem Solving: Troubleshoot and resolve technical challenges during system deployment and integration.
- Feedback-Driven Development: Gather client insights and work with product teams to advocate for continuous improvements and innovation.
- On-Site Implementation: Be actively involved in both lab and field activities to ensure the successful deployment of AI systems.
What We’re Looking For
- Educational Background: A Bachelor’s or Master’s degree in AI, Computer Engineering, Robotics, or a related field (or equivalent hands-on experience).
- Passion for Technology: A strong interest in edge computing, physical AI, and the development of intelligent systems.
- Technical Expertise: Experience with embedded systems, AI hardware, and AI model deployment tools (e.g., edge computing platforms, machine learning frameworks).
- Growth-Oriented Mindset: A willingness to learn and grow in the rapidly evolving field of AI and hardware integration.
- Communication Skills: The ability to simplify complex technical concepts for diverse audiences.
- Client-Focused Approach: A commitment to delivering solutions that address real-world challenges and exceed client expectations.
- Flexibility: Willingness to travel to client sites and participate in industry events as needed.