AI Engineer (Python/Django + ML & Generative AI)

Company Description

CodeChavo is a global digital transformation solutions provider working closely with leading technology companies to make a significant impact through transformation. Powered by technology, inspired by people, and led by purpose, CodeChavo collaborates with clients from design to operation. With deep domain expertise and a future-proof philosophy, CodeChavo embeds innovation and agility into their clients’ organizations. We help companies outsource their digital projects and build quality tech teams.

Role Description

skilled AI Engineer

developing secure, scalable web applications

Key Responsibilities:

• Develop and maintain backend systems using

  Python

  and

  Django/Django REST Framework

  .
• Design and implement RESTful APIs and third-party integrations.
• Optimize applications for

  performance and security

  .
• Architect and manage

  relational (PostgreSQL/MySQL)

  and

  NoSQL (MongoDB)

  databases.
• Deploy ML/AI models into production using

  PyTorch/TensorFlow

  .
• Collaborate cross-functionally with DevOps, frontend, and product teams.
• Work with

  CI/CD tools

  (Docker, GitHub Actions, Jenkins).
• Translate ML research into production-ready services/APIs.
• Maintain high code quality with best practices in testing and modularity.

Required skills:

• 4–6 years of experience in

  Python

  backend development.
• Expertise in

  Django

  and

  RESTful API design

  .
• Hands-on experience with

  PostgreSQL, MongoDB, or MySQL

  .
• Proficiency in

  Docker, Gunicorn, and Nginx

  .
• Strong understanding of

  machine learning

  and

  deep learning

  .
• Experience with

  generative AI

  ,

  transformers

  , and

  agentic AI frameworks

  .
• Practical knowledge of

  PyTorch

  or

  TensorFlow

  (PyTorch preferred).
• Ability to

  deploy ML models

  as APIs or micro services.

Nice to have:

• Familiarity with

  FastAPI

  or

  Flask

  .
• Experience with model deployment via

  TorchServe

  ,

  ONNX

  , etc.
• Exposure to

  MLOps

  tools like

  MLflow

  ,

  DVC

  , or

  AWS SageMaker

  .