Role overview
We are going through a period of significant evolution which is exciting and with it brings lots of opportunity and challenging work, which is not for everyone. To be successful in this role, you will be excellent at operating in ambiguous, changing environments, balancing multiple priorities simultaneously and get enjoyment from making the complex, simple.
We're on a mission, We build together, We're inclusive, We get it done, We communicate with purpose.*
Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.
Kaluza's vision is to power a world where net-zero is within everyone's reach. Would you be interested in joining us to help achieve this?
What you'll work on
- Develop ML and GenAI Solutions: Design and implement machine learning using Python, leveraging data technologies such as Databricks, Kafka, and the AWS cloud environment. Our architecture is based on microservices, allowing for dynamic deployment of new features.
- Productionise Algorithms: Deploy algorithms into production environments where they can be tested with customers and continuously improved. You'll automate workflows, monitor performance, and maintain data science products using best practices for tooling, alerting, and version control (e.g., Git).
- Contribute to a Collaborative Data Science Culture: Share your knowledge and experience with the wider team. You'll play a key role in fostering an ML / AI community that values openness, collaboration, and innovation.
- Identify Opportunities for Impact: Help uncover new opportunities where ML/AI can add value across our products and services. This includes asking the right questions, identifying high-impact areas, and contributing to the broader data strategy.