Machine Learning Engineer
Core
Bridge data science and software engineering to transform Proof of Concept (PoC) models into reliable, scalable, production-grade systems for global market research and brand management.
Role type
Machine Learning Engineer (Production)
Builds
Scalable data science solutions and production-grade ML systems
Domain
Market research, brand management, consumer intelligence
Deliverable
production ML models
Required skills
Python, statistical modeling (survey statistics, econometrics, causal inference, experimental design), software engineering best practices, Docker, code quality optimization
Preferred skills
Experience converting prototypes to production, knowledge exchange in ML engineering
Technologies
Python, Docker
Responsibilities
Design, develop, test, deploy, and maintain data science solutions; implement ML solutions at large scale in on-premises or cloud environments; create and improve methods and tools for Data Science; present ML expertise at conferences and workshops
Seniority
Mid-level (2+ years experience)