Python and AI Developer

Role Overview: You will be responsible for designing, developing, and maintaining end-to-end web applications using Python (Django/FastAPI/Flask). Additionally, you will integrate AI and ML models into web applications and APIs, optimize RESTful APIs for scalable data processing, and work closely with data scientists and ML engineers to deploy AI models in production. Furthermore, you will implement secure authentication, authorization, and data handling mechanisms, optimize applications for performance, scalability, and reliability, collaborate with DevOps teams for automation, and write clean, maintainable, and well-documented code. Key Responsibilities: - Design, develop, and maintain end-to-end web applications using Python (Django/FastAPI/Flask). - Integrate AI and ML models (e.g., OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch) into web applications and APIs. - Build and optimize RESTful APIs for scalable data processing. - Work closely with data scientists and ML engineers to deploy and serve AI models in production. - Implement secure authentication, authorization, and data handling mechanisms. - Optimize applications for performance, scalability, and reliability. - Collaborate with DevOps teams to automate deployment and CI/CD workflows (Docker, Kubernetes, etc.). - Write clean, maintainable, and well-documented code following best practices. Qualifications Required: - Bachelors degree or higher in Computer Science or Engineering. - 4 to 7 years of strong experience in Python and one or more web frameworks (FastAPI, Django, or Flask). - Hands-on experience with AI/ML model integration and working with APIs from platforms like OpenAI, Anthropic, or Hugging Face. - Proficient in JavaScript/TypeScript. - Solid understanding of database technologies (PostgreSQL, MongoDB, or MySQL). - Experience with API design, testing, and documentation. - Familiarity with containerization and deployment tools (Docker, AWS, Azure, GCP, Kubernetes). - Strong problem-solving skills and ability to work in an agile, collaborative environment. Role Overview: You will be responsible for designing, developing, and maintaining end-to-end web applications using Python (Django/FastAPI/Flask). Additionally, you will integrate AI and ML models into web applications and APIs, optimize RESTful APIs for scalable data processing, and work closely with data scientists and ML engineers to deploy AI models in production. Furthermore, you will implement secure authentication, authorization, and data handling mechanisms, optimize applications for performance, scalability, and reliability, collaborate with DevOps teams for automation, and write clean, maintainable, and well-documented code. Key Responsibilities: - Design, develop, and maintain end-to-end web applications using Python (Django/FastAPI/Flask). - Integrate AI and ML models (e.g., OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch) into web applications and APIs. - Build and optimize RESTful APIs for scalable data processing. - Work closely with data scientists and ML engineers to deploy and serve AI models in production. - Implement secure authentication, authorization, and data handling mechanisms. - Optimize applications for performance, scalability, and reliability. - Collaborate with DevOps teams to automate deployment and CI/CD workflows (Docker, Kubernetes, etc.). - Write clean, maintainable, and well-documented code following best practices. Qualifications Required: - Bachelors degree or higher in Computer Science or Engineering. - 4 to 7 years of strong experience in Python and one or more web frameworks (FastAPI, Django, or Flask). - Hands-on experience with AI/ML model integration and working with APIs from platforms like OpenAI, Anthropic, or Hugging Face. - Proficient in JavaScript/TypeScript. - Solid understanding of database technologies (PostgreSQL, MongoDB, or MySQL). - Experience with API design, testing, and documentation. - Familiarity with containerization and deployment tools (Docker, AWS, Azure, GCP, Kubernetes). - Strong problem-solving skills and ability to work in an agile, collaborative environment.