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Ai Engineer (4-6 years experience)

4 - 6 years

0 Lacs

Gurgaon Haryana India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai testing learning security design django rest data relational nosql docker git jenkins github devops ml code tuning tensorflow pytorch debugging fastapi mlflow development software engineering

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Employment Type:

Experience Required:


Objective of the Role:

We are seeking a highly skilled


Key Responsibilities:

  • 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.

    • Required Skills and Qualifications:


    • 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

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