Machine Learning Engineer-
Pubblicato il 24-08-2026 - Vita Health in Italia
Company Context
We are on a mission to make people healthier.
Vita Health is a dynamic startup in the health, nutrition, and fitness industry. Our innovative product has positively affected the lives of over 130,000 people in our core market, and we are now eager to expand our expertise and reach globally.
Our mission is to make prevention accessible and affordable, empowering individuals to take control of their health and achieve optimal well-being. Now we want to enhance our presence not just in the B2C sector, where we began, but also in B2B by integrating into corporate welfare programs for both large enterprises and SMEs that shape our market. Hence, we are looking for a Machine Learning Engineer to join our tech team and drive the next phase of our business evolution.
About the role
We're looking for a Machine Learning Engineer to research, build, and deploy intelligent systems that put machine learning and generative AI into the hands of our users and products.
This is a hands-on role sitting at the intersection of data science and engineering.
You'll work across the full model lifecycle, from experimentation and fine-tuning to production deployment with a strong emphasis on LLM-powered features, Agentic AI solutions, and model observability. You'll collaborate closely with Backend and Product teams to ship reliable AI systems that are measurable, maintainable, and safe in production.
What you'll do
Design, develop, and iterate on machine learning models and generative AI features across staging, and production environments
Build and maintain LLM-powered pipelines, including prompt engineering and agentic workflows
Fine-tune, evaluate, and benchmark foundation models for domain-specific tasks, using both open-source and API-based LLMs
Package and deploy models as production services, working with containerisation tools and cloud infrastructure (e.g. AWS SageMaker, Lambda, ECS, or equivalent)
Implement model monitoring, evaluation pipelines, and alerting t