Manager, AI Services Engineering
USD 154K-228K (estimate) Senior-level Full Time
Tasks
- Build machine learning models for fraud detection and credit risk
- Collaborate with product management on AI service offerings
- Define AI ML platform architecture
- Deploy and monitor machine learning models
- Develop AI point of view for banking and fintech
- Develop scalable production machine learning systems
- Drive continuous service improvement using data analysis
- Implement MLOps best practices
- Lead machine learning lifecycle from data ingestion to deployment
- Manage service incidents and changes
- Present research via white papers and conferences
- Recruit and mentor data scientists and engineers
- Translate client challenges into machine learning problems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anti-Money Laundering | Azure | Cloud platform | Cloudera | Credit Risk | Credit Scoring | Credit risk modeling | Data Ingestion | Deep learning | Feature Engineering | Fraud Detection | Google Cloud | Google Cloud Platform | JAX | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Training | Money Laundering | Natural Language | Natural Language Processing | PyTorch | Python | Risk Modeling | Series analysis | Statistical modeling | TensorFlow | Time Series | Time Series Analysis
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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