Data & AI Specialist
Tasks
- Build and operationalize scalable data and AI solutions
- Build secure scalable APIs for AI applications
- Contribute to batch and real time data architectures
- Develop and maintain data pipelines
- Develop containerized services
- Implement event-driven systems
- Implement machine learning and LLM solutions
- Maintain CI/CD pipelines
- Manage agile development pull requests and code reviews
- Monitor ML model lifecycle
- Orchestrate deployments with Kubernetes
- Support MLOps model versioning and deployment
Perks/Benefits
- Certification opportunities
- Coaching
- Hybrid work environment
- Training and development
- Wellbeing programs
Skills/Tech-stack
API Design | AWS | Agentic AI | Asynchronous programming | Authentication | Azure | C# | C++ | CI/CD | Cloud platform | Concurrency | Data Lake | Data Warehouse | Distributed Systems | Docker | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python | Retrieval-Augmented Generation | Rust | Security | Semantic Search | Streaming | Vector Database
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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