We’re looking for people who are proactive, independent, like working in small teams across different disciplines and who want to have a direct impact on the projects they work on. We can offer any resources needed to help make the best platform we can. See what we’re hiring for below…
The MLOps Engineer will be a part of a high-performing Data Science team developing and implementing AI algorithms to help address global challenges. They will design and use modern software engineering practices to deploy AI/ML solutions; Identify and evaluate new technologies to improve the performance, maintainability, and reliability of Luvi's learning systems. The MLOps Engineer will contribute to the technical work program of Luvi's projects, providing expert guidance and solid technical mentorship, reporting to the director of the AI/ML department.
As a Machine Learning Engineer, you’ll be: Creating and maintaining ML pipelines to operationalize ML models. Developing & deploying low latency and highly scalable dockerized microservices. Collaborating in cross-functional software/architecture design sessions to find the best solutions for the problems that we are facing. Working with Peer ML engineers who will be responsible for scaling and deploying machine learning models for Luvi. Participating in an agile development team that delivers value iteratively. Building ML platform to speed up development & deploy cycle and monitoring of models in production.
As our team is small the role will be varied however will predominantly centre around the typical tasks of a Management Accountant. You will be responsible for maintaining the core finance function and supporting the Finance Manager. You will assist in the day to day running of the financial processes and have responsibility for the majority of the Finance tasks.
At Luvi, we celebrate and support our differences. Employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish.
Luvi is an equal-opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.