AWS AI/ML Developer | Mid
Tasks
- Build data ingestion and transformation pipelines for RAG
- Create monitoring metrics and KPIs for AI systems
- Define testing strategies for AI solutions
- Design Generative AI solutions for document processing
- Design cloud native scalable AI architectures
- Document model performance and evaluation results
- Engineer prompts for accuracy and relevance
- Implement semantic search embeddings and vector databases
- Integrate AI solutions using AWS Bedrock and Azure AI services
- Integrate generative AI APIs into scalable applications
- Prepare documents for large language model processing
- Produce technical documentation
Perks/Benefits
- Career growth opportunities
- Continuous learning programs
- Dental insurance
- Health insurance
- Home office support
- Meal allowance
- Remote work flexibility
Skills/Tech-stack
AI Document Intelligence | API Integration | AWS Bedrock | Azure AI | Azure AI Document Intelligence | Azure OpenAI | Chatbot Development | Cloud Native | Cloud Native Architecture | Data Pipelines | Document Intelligence | Embeddings | Generative AI | Git | LLM integration | Language Models | Large Language Models | Model Evaluation | Observability and monitoring | OpenAI API | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
Roles
AI/ML Developer | AWS AI/ML Developer | Developer | ML Developer
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