Senior ML Engineer
Tasks
- Analyze cleanse and engineer features
- Build computer vision pipelines
- Communicate model results to stakeholders
- Design probability of default models
- Develop LLM based solutions with RAG and voice interfaces
- Develop ML pipelines and production deployment
- Develop fraud detection models
- Establish model monitoring and performance evaluation
- Maintain audit ready model documentation
- Maintain optimize modeling environments
- Plan and execute A/B tests
- Source assess emerging AI technologies
- Train validate and deploy credit limit strategies
Perks/Benefits
- Flexible working arrangements
- Foreign language learning support
- International agile team environment
- Medical insurance support
- Paid time off
- Sports activity support
Skills/Tech-stack
A/B | A/B Testing | B testing | Cobol | Computer Vision | Experimentation | Feature Engineering | Fine Tuning | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Power BI | Python | RAG | Retrieval-Augmented Generation | SQL | Voice Interfaces
Education
N/A
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