MLOps Engineer - MoneyLion
Gen Digital6 months ago
Kuala Lumpur, MalaysiaSenior
Responsibilities
- Design, build, and maintain ML infrastructure and tooling for data preparation, training, evaluation, deployment, monitoring, and retraining.
- Develop and maintain CI/CD pipelines for ML models with automated testing, validation, and safe rollout and rollback strategies.
- Implement scalable, reliable, and low-latency batch, real-time, and streaming model deployment patterns.
- Build monitoring and observability for data drift, model performance, and system health, including alerting and incident response processes.
- Partner with Data Scientists and ML Engineers on feature engineering pipelines, model packaging, and environment standardization.
- Integrate ML workloads with data platforms and pipelines while supporting data quality, lineage, and governance.
- Drive versioning, experiment tracking, reproducibility, documentation, security, compliance, and cost optimization practices for ML infrastructure.
- Provide technical guidance and support to cross-functional teams using ML platform tools and workflows.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent practical experience.
- Production-grade programming experience in Python or similar languages for data and ML workflows.
- Hands-on experience with cloud platforms and Docker and Kubernetes.
- Experience implementing CI/CD pipelines for data or ML projects.
- Familiarity with ML frameworks and tooling such as scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker, and Vertex AI.
- Understanding of software engineering practices including code reviews, testing, logging, monitoring, and documentation.
- Experience collaborating across Data Science, Data Engineering, Product, and Operations teams.
- Preferred experience in dedicated MLOps, ML Platform, or ML Infrastructure roles across multiple model lifecycles.
- Preferred experience with feature stores, model registries, experiment tracking, streaming or near-real-time processing, and observability stacks.
- Knowledge of data governance, privacy, and security considerations in ML systems.
- Familiarity with LLM and GenAI workloads is a plus.
Benefits
- Flexible working options, time off, competitive pay, benefits, and well-being programs.
- The role is based in Gen’s Kuala Lumpur office.
- The hiring process includes an online technical assessment, TA screening call, live technical assessment, and final hiring manager interview.
Tech Stack
Apache KafkaAWSAzureDatadogDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGrafanaJenkinsKubernetesMLflowPrometheusPythonPyTorchscikit-learnTensorFlow
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.