Machine Learning Engineer
Core
Design, develop, test, deploy, and maintain machine learning solutions, transforming data science prototypes into scalable, production-ready systems for global decision-making.
Role type
Senior Machine Learning Engineer (MLOps & Production)
Builds
Scalable ML systems and production-ready models for consumer intelligence and retail analytics
Domain
Consumer Intelligence / Retail Analytics / Data Science
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning algorithms, Statistical methods, Docker, Kubernetes, MLOps practices, Large-scale database management, Software engineering best practices
Preferred skills
Cloud environments (AWS, GCP), MLflow, Agile development, Forecasting/Pricing/Revenue assurance/Media analytics
Technologies
Python, SQL, Argo, Kubeflow, MLflow, GitLab CI, Prometheus, Grafana, Docker, Kubernetes, PostgreSQL, BigQuery, RDBMS
Responsibilities
Design and develop ML solutions using software engineering best practices; Transform data science models into scalable production systems; Implement and manage end-to-end ML workflows in cloud and on-prem environments; Partner with cross-functional international teams; Develop and refine ML engineering tools and best practices; Mentor team members and contribute to strategic initiatives
Seniority
Senior, hands-on IC with mentorship responsibilities