Python Engineer AI/ML

.Key Responsibilities Develop, test, and maintain backend applications using Django, Flask, or FastAPI. Build RESTful APIs and integrate third-party services to enhance platform capabilities. Utilize data handling libraries like Pandas and NumPy for efficient data processing. Write clean, maintainable, and well-documented code that adheres to industry best practices. Participate in code reviews and mentor junior developers. Collaborate in Agile teams using Scrum or Kanban workflows. Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications

2 to 5 years of experience in backend development with Python.

Proficiency in core and advanced Python concepts, including OOP and asynchronous programming.

Strong command over at least one Python framework (Django, Flask, or FastAPI).

Experience with data libraries like Pandas and NumPy. Understanding of authentication/authorization mechanisms, middleware, and dependency injection. Familiarity with version control systems like Git.

Comfortable working in Linux environments.

Must-Have Skills

Expertise in backend Python development and web frameworks. Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). Strong debugging, problem-solving, and optimization skills. Experience with API development and micro services architecture. Deep understanding of software design principles and security best practices.

Good-to-Have Skills

Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of containerization tools (Docker, Kubernetes). Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). Familiarity with Agile practices and tools like Jira or Trello. Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure).