Machine Learning Engineer - Moneylion

67

Kuala Lumpur, , Malaysia
**
Machine learning model development
Python and sql programming
Production deployment of ml models
** MoneyLion is seeking a Machine Learning Engineer to join their Kuala Lumpur office, which focuses on innovative solutions in finance. The ideal candidate should possess strong programming skills, experience in machine learning, and a solid mathematical background to build and maintain high-performing machine learning models. **

Job Summary

  • Gen is a global company dedicated to powering Digital Freedom through trusted consumer brands including MoneyLion, delivering cybersecurity and financial wellness solutions to nearly 500 million users worldwide.
  • The role involves designing, prototyping, implementing, and optimizing machine learning systems in a fast-paced, innovative environment while collaborating with a multicultural team.
  • Gen offers flexible working options, competitive pay, benefits, and a culture that values diversity, continuous learning, and customer-driven innovation.

Matching Summary

Match Score: 75

** MoneyLion is seeking a Machine Learning Engineer to join their Kuala Lumpur office, which focuses on innovative solutions in finance. The ideal candidate should possess strong programming skills, experience in machine learning, and a solid mathematical background to build and maintain high-performing machine learning models. **

Skills & Requirements

Must-have

  • Machine learning model development
  • Python and SQL programming
  • Production deployment of ML models
  • Statistical analysis and predictive analytics
  • Test-driven model development
  • Machine learning libraries like scikit-learn and XGBoost

Nice-to-have

  • Experience with MLOps tools such as DVC and MLFlow
  • Familiarity with AWS, Docker, Kubernetes
  • Strong communication and collaboration skills
  • Ability to frame business problems for ML solutions
  • Experience building ML workflows and automation

Key Requirements

  • Strong mathematical, statistical or actuarial background
  • Hands-on experience in machine learning and statistical modelling
  • Experience developing and deploying ML models in production
  • Proficient in Python and SQL
  • Experience with ML libraries such as scikit-learn, XGBoost, LightGBM
  • Preferably experience with MLOps tools and cloud technologies

Work Rights

Not specified

Tailored Resume

Cover Letter