About Gelato

Gelato has built the world's largest and most global networks for on-demand production of customized items such as apparel, wall art, drinkware, stationary, and many others. We support a new wave of e-commerce entrepreneurs and the global shift towards local and more sustainable production.

We own no assets - we build the software that connects world-class production facilities all across the world. We already have more than 100 production partners in 34 countries. In 72 hours we can reach more than 5 billion people and potential consumers in a smarter, faster, and greener way.

In many ways, we at Gelato are rethinking how digital fabrication of customized products can be done on-demand. Just imagine what will happen when we add 3D printing capabilities to this global service. We are already empowering thousands of e-commerce entrepreneurs to grow and scale their businesses. Again, thanks to the products being produced locally we produce what you need when you need it, and where you need it. In other words, we reduce waste and carbon emissions.

Together we can increase global GDP by effectively supporting local on-demand production.

What You Will Be Doing

We are seeking someone who will help propel our Machine Learning agenda forward. As a skilled Machine Learning engineer you will help Gelato establish Machine Learning infrastructure, tools and processes helping our Data Scientists productionise their statistical models. We have a bold and aggressive Data Science roadmap to support Gelato’s rapidly scaling business operations. Gelato is a data driven organisation that is looking make data its competitive advantage. We have billions of data points collected from 3 separate business units of the company including but not limited website user behavior data and production and logistical network data. Key responsibilities:

• Work in a cross-functional team alongside data scientists and machine learning scientists

• Implement and deploy cutting-edge machine learning models for measurable impact across the business

• Create the tools, frameworks and libraries that enables the acceleration of ML products delivery

• Help establish our AI infrastructure in terms of tech stack, process, performance and testing

• Mentor and coach team members on ML engineering best practises

• Establish MLOps standards and drive quality across the estate

Who you are

• An advanced degree in Computer Science, Mathematics or a similar quantitative discipline

• Hands-on experience in delivering machine learning models to production at scale

• 2+ years of experience building scalable ML infrastructure and big data systems.

• Experience in writing production-quality Python code

• Comfortable working with python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost

• Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting

• Comfortable working with Docker and containerised applications

• Experience accessing and combining data from multiple sources and building data pipelines (ETL)

• Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders

• Ability to combine business intuition with the application of advanced solutions

• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities

• A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

An added bonus if you have

• Experience with any cloud infrastructures - GCP is a plus

What it’s like to work at Gelato

We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application.