Solutions Architect (GenAI, Python/Data, AWS)
Tasks
- Build ETL/ELT workflows
- Deploy ML and LLM based solutions
- Design cloud-native data and AI solutions
- Implement MLOps LLMOps AgentOps practices
- Implement and optimize RAG systems
- Lead architecture reviews and technical design documents
- Lead code reviews and mentor engineers
- Provide client technical advisory
- Support presales discovery and technical proposals
- Write production grade Python with REST APIs
Perks/Benefits
- Equipment provided
- Flexible hours
- Paid public holidays
- Paid sick leave
- Paid vacation
- Premium AI tools subscriptions
- Private medical insurance
- Professional training programs
- Remote work
Skills/Tech-stack
AWS | AWS Bedrock | AgentOps | Agentic AI | CI/CD | Django REST | Django REST Framework | Docker | Drift Detection | ECR | ECS | ELT | ETL | Experiment tracking | FastAPI | Flask | Generative AI | Kubernetes | LLM | LLMOps | Lambda | ML model monitoring | MLOps | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Observability | Python | RAG | REST APIs | REST Framework | S3 | SQS
Education
N/A
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