Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Building and scaling machine learning solutions for global consumer intelligence platforms with an accent on MLOps, production-ready systems, and cloud-native architectures. Focus on transforming research prototypes into robust, scalable systems and driving engineering excellence within a cross-functional, international team.
Location: Kuala Lumpur, Malaysia (Hybrid)
Company
is a global consumer intelligence company that provides a complete understanding of consumer buying behavior through advanced analytics and AI-driven platforms.
What you will do
- Design, develop, and maintain scalable machine learning solutions using software engineering best practices.
- Transform data science models into production-ready systems for real-world applications.
- Implement and manage end-to-end ML workflows using MLOps practices in cloud and on-prem environments.
- Collaborate with global cross-functional teams including data scientists and software engineers.
- Develop and refine tools and methods to elevate ML engineering standards.
- Mentor team members and contribute to internal communities of practice.
Requirements
- Degree in computer science, engineering, statistics, or a related field.
- 4+ years of experience in machine learning software development.
- Strong Python skills and experience with ML libraries and frameworks.
- Solid experience with large-scale database environments and production-level code quality.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Professional working proficiency in English.
Nice to have
- Experience with cloud environments (AWS, GCP).
- Familiarity with MLflow or similar ML lifecycle tools.
- Experience with agile development practices.
- Background in forecasting, pricing, revenue assurance, or media analytics.
Culture & Benefits
- Hybrid work environment.
- Opportunities for personal and professional growth with ongoing training.
- Access to LinkedIn Learning.
- Employee Assistance Program (EAP).
- Flexible working environment and volunteer time off.
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