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python databricks hadoop spark mlops📋 Description
- Design, build, and deploy ML models for AML/KYC/SAR analytics.
- Own production infra: feature pipelines, model serving, monitoring.
- Build internal ML tooling: pipelines, experiment tracking, registries.
- Use AI-assisted coding; integrate LLM tooling into compliance workflows.
- Take research models to production; validate features and deployment.
- Collaborate with compliance/legal to ensure explainability and governance.
🎯 Requirements
- 8+ years in ML engineering or data science; seniority scaled by experience.
- Strong Python and ML frameworks; hands-on MLOps, deployment, monitoring, CI/CD.
- Experience with Spark, Databricks, Hadoop or MaxCompute; batch and real-time pipelines.
- Proficient in AI-assisted development; LLM tooling in production contexts.
- Solid ML fundamentals across supervised, unsupervised, anomaly detection for compliance.
- Familiarity with SHAP or LIME; governance and auditability in regulated env.
🎁 Benefits
- Competitive total compensation package.
- L&D programs and education subsidies for growth.
- Team-building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare for employees and dependents.
- More to share during the process.
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