AI Engineer - Banking
Tasks
- Build cloud infrastructure for AI development
- Build data transformation infrastructure
- Collaborate with stakeholders to define AI solutions
- Conduct code reviews
- Containerize AI workloads
- Define AI strategies with data scientists and engineers
- Develop algorithms for ETL of real time unstructured data
- Document AI processes and controls
- Implement AI features
- Manage data ingestion for AI ML processes
- Monitor model performance and scalability
- Optimize and monitor model deployments
- Participate in Agile ceremonies and sprint planning
- Resolve bugs in deployed models
- Run experiments to test deployed model performance
- Support code reviews
- Transform models into production ready APIs and microservices
- Update systems to maintain model accuracy
Perks/Benefits
- Book subscription
- Flexible working hours
- Learning platforms access
- Lunch tickets
- Mentorship programs
- Premium medical package
- Remote work
- Team events
Skills/Tech-stack
APIs | AWS | Agile | Artificial Intelligence | Azure | CI/CD | Containerization | Data Governance | Data Preprocessing | Data Structures | Data Structures and Algorithms | Docker | ETL | GCP | Generative AI | Git | Jenkins | Language Models | Large Language Models | Machine Learning | Microservices | NumPy | Object-Oriented | Object-oriented programming | Pandas | Python | Retrieval-Augmented Generation | SOLID | SQL | Scikit-learn | Tableau | Waterfall
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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