Key Responsibilities

• Create and refine machine learning models for classification and prediction tasks.
• Deploy models into scalable, production-ready environments.
• Improve model performance and reliability in real-world applications.
• Work closely with sales and technical teams to tailor solutions to client goals.
• Contribute to client meetings, demos, and proposal preparation.
• Collaborate across teams and explain complex ML ideas to stakeholders.
• Maintain deployed models and adapt them to changing data or business needs.
• Stay up-to-date with the latest ML technologies, trends, and tools.

Requirements

• Degree in Computer Science, AI, or related field.
• 3–4 years of ML experience, including NLP and OCR applications.
• Fluent in Python and frameworks like TensorFlow, PyTorch, or Keras.
• Experienced with FastAPI, Flask, or Django for backend integration.
• Knowledge of asynchronous task systems like Celery or Redis.
• Familiar with cloud (AWS, GCP) and MLOps practices.