Senior AI / ML Engineer
Tasks
- Address model drift and degradation
- Architect scalable machine learning systems
- Collaborate on data architecture
- Deploy machine learning models to production
- Design machine learning solutions
- Develop train and optimize predictive models
- Drive technical decision making across AI initiatives
- Ensure data quality, consistency, and governance
- Ensure regulatory compliance
- Establish model development standards
- Evaluate emerging AI technologies
- Implement MLOps and model lifecycle management
- Implement model validation and testing
- Improve data quality and effectiveness
- Lead proof of concept and innovation initiatives
- Maintain documentation and technical standards
- Mentor engineers and practitioners
- Monitor model performance
- Optimize infrastructure and deployment pipelines
- Perform feature engineering
- Promote responsible and secure AI development
- Provide technical leadership for AI strategy
- Support AI risk management
- Support AI transformation and modernization
Perks/Benefits
Skills/Tech-stack
Agile | Cloud Computing | Data Engineering | Data Governance | Distributed Systems | Feature Engineering | MLOps | Machine Learning | Model Drift | Model Monitoring | Predictive Modeling | Python | Statistical Analysis
Education
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