About Us
Vita Health is a dynamic startup in the health and wellness industry, dedicated to enhancing individuals' lives through innovative products.
We are committed to expanding our expertise and reach globally, striving to make healthy living seamless and accessible for everyone.
Our mission is to integrate our services into corporate welfare programs, supporting large enterprises and SMEs that shape our market.
The Role
We're hiring a Machine Learning Engineer to spearhead a new initiative focused on modelling individual health progress and behaviour in a more intelligent and personalized way.
This role offers a unique opportunity to lay the technical foundation for assessing and supporting users' wellness journeys through data-driven insights.
* Design and implement ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
* Translate complex user behaviours into actionable data-driven insights.
* Owning the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring.
* Build data-ingestion flows and automated training jobs on AWS.
* Work closely with stakeholders to define meaningful signals and feedback loops.
To achieve this goal, you will work at the intersection of health science, behavioural modelling, and machine learning, bringing innovative ideas to life backed by real-world impact.
Your Qualifications
We seek an experienced Machine Learning Engineer with:
* 5+ years of experience in applied machine learning, with strong foundations in algorithm design and data pipelines.
* A vision to architect and evolve our entire ML tech stack.
* Experience building and deploying ML solutions in production environments.
* Possession of passion for interpretable models and turning complexity into simplicity for end-users.
Bonus points for domain experience in health, fitness, or behavioural science, consumer-facing product integrations, and experience in a startup or fast-paced product environment.
What We Offer
You'll have the opportunity to:
* Be part of a dynamic work environment where your ideas directly influence strategies and product development.
* Enjoy autonomy and flexibility, working from anywhere while having the option to visit our office.
* Benefit from a personalized learning budget with the possibility of dedicated learning time weekly.
Recruiting Process
The process involves several stages:
1. Asynchronous Assessment: Evaluate reasoning abilities, logical thinking, and critical thinking.
2. Assessment Review: Discuss test results to understand thought processes.
3. Technical Evaluation: A tailored assessment for the role.
4. Cultural Fit Interview: Ensure alignment with our company culture.
We are excited about the prospect of collaborating with a talented Machine Learning Engineer who shares our values and vision.