AI/ML – Investment Services
Tasks
- Build backend services for generative AI
- Create fine tuning pipelines
- Deploy embedding stores and retrieval components
- Design data pipelines for structured and unstructured data
- Develop APIs and microservices for model inference
- Implement automated testing and continuous delivery
- Integrate generative AI workflows into production
- Lead code reviews and engineering best practices
- Maintain operational runbooks and metrics
- Optimize performance, cost, and reliability
- Partner to translate prototypes into production solutions
- Set up monitoring and incident response
Perks/Benefits
- Adoption leave
- Employee assistance program
- Health care benefits
- Maternity leave
- Mental wellness programs
- Paternity leave
- Transportation support
- Tuition assistance
Skills/Tech-stack
API Development | Automated testing | Batch Processing | C++ | CI/CD | Capacity Planning | Cloud Computing | Containerization | Data Engineering | Data Pipelines | Databases | Embeddings | Fine Tuning | Generative AI | Go | Incident Response | Java | Kubernetes | Machine Learning | Message queuing | Microservices | Model Inference | Monitoring | Observability | Profiling | Python | Retrieval | Stream processing | Streaming
Education
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