Senior ML Engineer
Tasks
- Analyze cleanse and prepare datasets for modeling
- Build machine learning pipelines for production deployment
- Communicate model results insights and recommendations
- Design credit limit strategies for lending decisions
- Design train validate and deploy Probability of Default models
- Develop LLM based solutions using RAG and voice interfaces
- Develop computer vision pipelines for document and image processing
- Develop executive dashboards and model reporting
- Develop machine learning opportunities for fraud prevention conversion optimization and collections
- Engineer features for machine learning inputs
- Establish model monitoring and performance evaluation
- Maintain and optimize local cloud and on premises modeling environments
- Maintain audit ready documentation for models and methodologies
- Plan and execute A B tests for revenue and efficiency
Perks/Benefits
- 20 paid days off annually
- Flexible working arrangements
- Foreign language learning support
- International agile collaborative team environment
- Modern AI ML technology exposure
- Partial medical insurance support
- Sports activities support
Skills/Tech-stack
A/B | A/B Testing | Anthropic | B testing | Cobol | Computer Vision | Document processing | Feature Engineering | Image Processing | LLM | Lifecycle Management | Machine Learning | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Open Source | Open-source Models | OpenAI | Power BI | Python | RAG | SQL
Education
N/A
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