Ai Engineer - Python

• 3-6 years of hands-on experience in Python.
• Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework.
• Work with third-party APIs and external services to ensure smooth data integration.
• Optimize application performance and implement robust security practices.
• Design scalable and efficient data models; work with relational and NoSQL databases.
• Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions.
• Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions.
• Integrate and deploy ML models and AI features in production environments (a strong plus).
• Write clean, modular, and testable code following best practices.
• Troubleshoot, debug, and upgrade existing systems.
• 
  

• Strong proficiency in

  Python

  and

  Django

  framework.
• Experience with

  PostgreSQL

  ,

  MongoDB

  , or

  MySQL

  .
• Familiarity with

  Docker

  ,

  Gunicorn

  ,

  Nginx

  , and CI/CD pipelines.
• Experience with

  machine learning

  and

  deep learning

  concepts.
• Exposure to

  Generative AI

  ,

  Transformers

  ,

  Agentic Frameworks

  , and

  Fine-Tuning techniques

  .
• Hands-on experience with

  PyTorch

  or TensorFlow (PyTorch preferred).
• Ability to translate ML/AI solutions into production-ready APIs or services.
• Strong problem-solving and debugging skills.

Nice to Have:

• Knowledge of FastAPI or Flask.
• Experience deploying models via TorchServe or ONNX.
• Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker.

software engineering and AI innovation