Senior Machine Learning Engineer
Gen Digital4 months ago
Kuala Lumpur, MalaysiaSenior
Responsibilities
- Own and lead the end-to-end architecture, orchestration, and delivery of machine learning systems and pipelines.
- Lead technical discussions with MLOps Engineers and Data Scientists to make sound system design decisions.
- Research, build, and design robust, scalable machine learning systems and models that deliver measurable business value.
- Design, execute, and monitor machine learning experiments and metrics, independently driving conclusions and recommendations.
- Monitor, optimize, and maintain machine learning solutions in production while identifying and resolving systemic issues.
- Champion test-driven development and engineering best practices across machine learning systems.
- Mentor junior ML engineers through guidance, code reviews, and technical support.
Requirements
- Proven experience developing, deploying, and owning machine learning models in production at scale.
- Ability to solve problems and troubleshoot independently in ambiguous situations using established and novel approaches.
- Proficiency in Python and SQL.
- Proficiency with machine learning libraries and frameworks; experience with scikit-learn, XGBoost, or LightGBM is preferred.
- Solid experience building machine learning systems, workflows, and pipelines end to end.
- Familiarity with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, or BentoML is a strong advantage.
- Hands-on experience with AWS, Docker, and Kubernetes.
- Strong communication, collaboration, and stakeholder management skills.
- Demonstrated ability to mentor others and contribute to engineering culture.
Benefits
- Flexible working options, time off, competitive pay, benefits, and well-being programs.
- The role is based in Gen's Kuala Lumpur office and includes a TA screening call, take-home assessment, and interview process.
Tech Stack
Categories
About Gen Digital
Gen Digital is a public consumer cyber safety company that sells subscription software and services for cybersecurity, online privacy, and identity protection under brands including Norton, Avast, LifeLock, Avira, AVG, CCleaner, and ReputationDefender. Formed in 2022 by the merger of NortonLifeLock and Avast, it is headquartered in Tempe, Arizona, and serves more than 150 countries with a user base approaching 500 million. Revenue comes primarily from direct-to-consumer subscriptions and partnerships.