Position Details
About this role
This role involves designing, deploying, and optimizing scalable machine learning solutions across multiple markets, ensuring alignment with business goals and technical standards.
Key Responsibilities
- Design and deploy ML solutions
- Convert business requirements into KPIs
- Support full ML lifecycle
- Collaborate with engineering teams
- Optimize ML architectures
Technical Overview
The technical environment includes Python-based ML pipelines, cloud-native deployment on AWS, Azure, or GCP, with a focus on data exploration, model training, validation, and monitoring.
Ideal Candidate
The ideal candidate is a senior data scientist with at least 5 years of experience designing and deploying scalable ML solutions, proficient in Python and cloud-native environments, with a focus on healthcare or data-intensive domains.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in ML, Lack of Python expertise, No experience with cloud platforms (AWS, Azure, GCP), Unwillingness to work across multiple locations
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile