About Tondo Smart

Tondo Smart builds AI-powered IoT platforms for monitoring, protection, and optimization of public infrastructure. We work with operational, sensor, and time-series data and integrate ML capabilities into real systems used in the field.

Role: Applied AI Engineer

We’re hiring an Applied AI Engineer with strong Python engineering skills and practical ML experience. This is a hands-on role: you’ll take problems from messy data and unclear requirements to working AI features that run in production and connect to real smart-city infrastructure.

What you’ll do

• Build end-to-end ML solutions: data exploration → model development → production Python → deployment/integration
• Develop and maintain production-grade Python code (clean architecture, testing, debugging)
• Train, evaluate, and iterate on ML models under real-world constraints (latency, robustness, data quality)
• Work with structured/time-series/sensor/operational data; feature engineering and preprocessing
• Collaborate with Product, Backend, IoT/Hardware, and Operations to ship AI into real systems
• Prototype quickly, validate with real feedback, and turn ambiguity into working solutions

Must have

• Strong Python experience in production environments
• Practical ML experience (training, evaluation, iteration—not just notebooks)
• Experience with PyTorch / TensorFlow / scikit-learn (or similar)
• Solid software engineering fundamentals: Git, testing, debugging, code quality
• Ownership mindset: can take a feature from idea to working implementation

Nice to have

• Experience with LLMs (fine-tuning / prompt engineering / evaluation)
• Model deployment / integration experience (APIs, services, edge constraints)
• Data pipelines and preprocessing at scale
• IoT / embedded / working close to hardware
• Startup / fast-paced R&D background

Personal Attributes

1. Curious, self-driven, and comfortable learning new technologies quickly
2. Pragmatic problem-solver with a bias toward working solutions over theory
3. Strong communication skills and ability to collaborate with cross-functional teams