Software Engineer
Tasks
- Build vector database based retrieval
- Build web UI applications
- Collaborate with data engineers and data scientists
- Deploy agentic AI applications with agent frameworks
- Deploy generative AI services on AWS GCP or Azure
- Deploy machine learning models to production
- Design data gathering and data quality processes
- Design optimum machine learning solution
- Develop RESTful APIs
- Evaluate model performance with evaluation tools
- Identify right problem for generative AI
- Implement advanced RAG solutions
- Implement generative AI applications
- Ingest unstructured data from PDFs HTML images audio to text
- Set up CI/CD pipelines
- Use agile development methodologies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Agentic AI | Amazon Bedrock | Autogen | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | CI/CD | Computer Vision | Cosmos DB | Crew AI | Data Visualization | DeepEval | Django | DynamoDB | FMeval | Faiss | FastAPI | Flask | Generative AI | GitHub Actions | Jenkins | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | MongoDB | NoSQL | Pinecone | PostgreSQL | PyTorch | Python | REST APIs | Ragas | Retrieval-Augmented Generation | SQL | SQL Hive | Scikit-learn | Semantic Kernel | Series analysis | Statistical Analysis | Tableau | TensorFlow | Terraform | Time Series | Time Series Analysis | Vector Databases | Weaviate
Education
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