Position Details
About this role
A senior ML engineer role focused on designing, building, and maintaining scalable ML solutions and infrastructure for fraud detection.
Key Responsibilities
- Design and maintain ML systems
- Collaborate with data scientists and engineers
- Build scalable ML infrastructure
- Implement MLOps practices
- Ensure model reproducibility and monitoring
Technical Overview
Involves working with ML systems, data pipelines, model deployment, CI/CD, and observability tools, primarily using Python and cloud-based platforms.
Ideal Candidate
The ideal candidate is a senior ML engineer with 6+ years of experience in designing and maintaining production-grade ML systems and infrastructure. They possess strong collaboration skills and expertise in ML deployment, data pipelines, and scalable infrastructure.
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 6 years of ML engineering experience, Lack of experience with ML infrastructure and deployment, No experience with data pipelines or CI/CD, No background in Data Science or related fields
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile