Data & AI Specialist
Tasks
- Apply MLOps model versioning
- Build containerized services
- Build data and AI services
- Build streaming data architectures
- Conduct code reviews
- Deploy and monitor machine learning models
- Design data lake and warehouse systems
- Develop data pipelines
- Develop secure scalable APIs
- Implement LLM solutions
- Implement event-driven systems
- Implement machine learning solutions
- Manage model lifecycle
- Orchestrate container deployments
- Perform CI CD pipelines
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Agentic AI | Asynchronous programming | Authentication | Azure | C# | C++ | Cloud platform | Concurrency | Data Lake | Data Warehouse | Distributed Systems | Docker | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python | Rust | Streaming
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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