Data & AI Specialist
Tasks
- Build AI services
- Build containerized services
- Build event-driven systems
- Build secure scalable APIs
- Deploy machine learning models
- Design data lakes
- Develop data pipelines
- Implement CI/CD pipelines
- Implement LLM solutions
- Implement streaming systems
- Integrate machine learning solutions
- Manage model lifecycle
- Monitor model performance
- Orchestrate deployments
- Perform code reviews
- Support MLOps practices
- Version machine learning models
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Agentic AI | Agile | Asynchronous programming | Authentication | Azure | C# | C++ | CI/CD | Concurrency | Data Engineering | Data Lake | Data Warehouse | Distributed Systems | Docker | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Kubernetes | LLM | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python | Retrieval-Augmented Generation | Rust | Semantic Search | Streaming | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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