Description

You will develop and implement machine learning solutions to extract insights from unstructured data, owning the release pipeline and performance optimization.

Responsibilities

• Leverage open-source libraries to experiment with and build novel NLP solutions.
• Analyze existing products to diagnose, troubleshoot, and improve performance.
• Build reusable code and libraries to evolve the existing framework.
• Design and implement complex algorithms using geometry and statistics.
• Optimize data processing pipelines for efficiency.

Required Skills

• 5+ years of experience in Python and writing fault-tolerant code.
• Practical experience with Keras, Tensorflow, and PyTorch.
• Deep understanding of NLP and NLU using tools like NLTK, SpaCy, or Flair.
• Exposure to OCR, Text Processing, OpenCV, and NumPy.
• Knowledge of various text-based machine learning and deep learning algorithms.
• Strong logical skills for solving complex technical requirements.
• Ability to work in a startup environment and master new technologies rapidly.

Preferred Skills

• Experience with diverse web technologies and techniques.

Key Skills

Education

Any Graduate