Job description for IoT & AI Engineer at Javamifi
We are looking for a passionate and skilled IoT & AI Engineer to join our team and help us build intelligent, scalable, and future-ready
solutions.
If you are excited about Internet of Things (IoT), Artificial Intelligence (AI), and data-driven
technologies, this role is for you.
Key Responsibilities:
- Design, develop, and implement IoT and AI solutions based on business requirements
- Integrate IoT devices, sensors, and gateways with backend systems and cloud platforms
- Develop, train, and deploy AI / Machine Learning models for automation and data analysis
- Process, analyze, and visualize data collected from IoT devices
- Perform system testing, debugging, and performance optimization
- Collaborate with product, engineering, and business teams to deliver innovative solutions
- Create and maintain technical documentation and system architecture
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Electrical Engineering, or related fields
- Minimum 2 years of experience in IoT, AI, Machine Learning, or related roles
- Proficient in programming languages such as Python, C/C++, Java, or JavaScript
- Hands-on experience with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) - Familiar with IoT protocols (MQTT, HTTP, CoAP) and IoT hardware/sensors
- Experience with Cloud platforms (AWS, GCP, Azure) is a strong plus
- Good understanding of APIs, databases (SQL/NoSQL), and data pipelines
- Strong analytical thinking, problem-solving skills, and good communication
Nice to Have
- Experience deploying AI models into production environments
- Knowledge of Edge Computing
- Background in telecommunication, smart devices, or mobility solutions
- Relevant certifications in IoT, AI, or Cloud technologies
Why Join Javamifi Group?
- Opportunity to work on cutting-edge technology projects
- Collaborative, dynamic, and innovative work environment
- Room for creativity, experimentation, and continuous learning
- Professional growth alongside experienced tech teams
