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About the Role:

hands-on project work in Artificial Intelligence (AI) and Machine Learning (ML)

Key Responsibilities:

  • Design, develop, and maintain backend applications using Python.
  • Build and integrate RESTful APIs and third-party services.
  • Work on

    AI/ML projects

    including model development, training, deployment, and performance tuning.
  • Collaborate with Data Scientists and ML Engineers to implement and productionize machine learning models.
  • Manage data pipelines and model lifecycle using tools like MLflow or similar.
  • Write clean, testable, and efficient code using Python best practices.
  • Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, etc.
  • Participate in code reviews, architecture discussions, and agile ceremonies.

Required Skills & Experience:

  • 5–7 years of hands-on Python development experience.
  • Strong experience with frameworks such as Django, Flask, or FastAPI.
  • Proven track record of working on

    AI/ML projects

    (end-to-end model lifecycle).
  • Good understanding of machine learning libraries like Scikit-learn, TensorFlow, Keras, PyTorch, etc.
  • Experience with data preprocessing, model training, evaluation, and deployment.
  • Familiarity with data handling tools: Pandas, NumPy, etc.
  • Working knowledge of REST API development and integration.
  • Experience with Docker, Git, CI/CD, and cloud platforms (AWS/GCP/Azure).
  • Familiarity with databases – SQL and NoSQL.
  • Experience with model tracking tools like MLflow or DVC is a plus.

Preferred Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, GCP AI Platform).
  • Exposure to MLOps practices and tools is highly desirable.
  • Understanding of NLP, Computer Vision, or Generative AI concepts is a plus.


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