Tasks
- Develop and optimize APIs using Python and FastAPI for AI-driven chatbot systems;
- Integrate internal knowledge bases with relational databases such as PostgreSQL;
- Deploy and manage scalable applications using Azure Cloud Services (Blob Storage CosmosDB App Service Functions);
- Ensure smooth communication between services databases and APIs;
- Containerize applications using Docker to enable consistent development and deployment;
- Collaborate with teams on version control and CI/CD processes using GitLab;
- Perform basic Linux VM tasks related to cloud environment setup and deployment;
- Contribute flexibly to a variety of AI projects including generative AI deep learning and data science initiatives;
Qualifications
Must-Have:
- Strong Python development skills especially for API development with FastAPI;
- Strong background in Data Science and AI including experience with machine learning algorithms statistical analysis data preprocessing model training and evaluation as well as practical knowledge of deep learning frameworks and techniques;
- Experience with Docker containerization and deployment;
- Experience with SQL and familiarity with PostgreSQL or similar databases;
- Knowledge of GitLab for version control and basic CI/CD pipelines;
- Cloud knowledge preferably Azure for deploying and managing applications.
Nice to Have:
- Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG);
- Experience with Data Engineering;
- Experience with OpenAI LangChain LangGraph Ragas and other chatbot development frameworks;
- Experience with Infrastructure as Code (IaC) tools;
- Experience with Agentic AI systems and autonomous agent frameworks.
TasksDevelop and optimize APIs using Python and FastAPI for AI-driven chatbot systems;Integrate internal knowledge bases with relational databases such as PostgreSQL;Deploy and manage scalable applications using Azure Cloud Services (Blob Storage CosmosDB App Service Functions);Ensure smooth communi...
Tasks
- Develop and optimize APIs using Python and FastAPI for AI-driven chatbot systems;
- Integrate internal knowledge bases with relational databases such as PostgreSQL;
- Deploy and manage scalable applications using Azure Cloud Services (Blob Storage CosmosDB App Service Functions);
- Ensure smooth communication between services databases and APIs;
- Containerize applications using Docker to enable consistent development and deployment;
- Collaborate with teams on version control and CI/CD processes using GitLab;
- Perform basic Linux VM tasks related to cloud environment setup and deployment;
- Contribute flexibly to a variety of AI projects including generative AI deep learning and data science initiatives;
Qualifications
Must-Have:
- Strong Python development skills especially for API development with FastAPI;
- Strong background in Data Science and AI including experience with machine learning algorithms statistical analysis data preprocessing model training and evaluation as well as practical knowledge of deep learning frameworks and techniques;
- Experience with Docker containerization and deployment;
- Experience with SQL and familiarity with PostgreSQL or similar databases;
- Knowledge of GitLab for version control and basic CI/CD pipelines;
- Cloud knowledge preferably Azure for deploying and managing applications.
Nice to Have:
- Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG);
- Experience with Data Engineering;
- Experience with OpenAI LangChain LangGraph Ragas and other chatbot development frameworks;
- Experience with Infrastructure as Code (IaC) tools;
- Experience with Agentic AI systems and autonomous agent frameworks.
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