Related skills
python databricks spark mlops ml📋 Description
- Design, build, and deploy ML models for AML, KYC/KYB, and SAR analytics.
- Own production infra: feature pipelines, model serving, monitoring, drift detection.
- Build and maintain internal ML tooling: reusable components, experiment tracking.
- Apply AI-assisted coding and automation: LLM tooling, automated pipelines, SAR narratives.
- Collaborate with data scientists to ship models from research to production.
- Collaborate with compliance and legal to ensure explainable, auditable models.
🎯 Requirements
- 8+ years in ML engineering or data science with production-grade models.
- Strong Python and ML framework skills; hands-on MLOps including deployment and monitoring.
- Experience with Spark, Databricks, Hadoop, or MaxCompute; design batch and real-time pipelines.
- Fluency with AI-assisted development: LLM coding tools and AI pipelines.
- Solid ML fundamentals across supervised, unsupervised, and anomaly detection.
- Familiarity with SHAP or LIME; emphasis on explainability and auditability.
🎁 Benefits
- Competitive total compensation package
- L&D programs and education subsidy for growth
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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