JOB DETAILS

• Data Collection and Curation.
• Select appropriate annotated datasets for Supervised Learning methods.

• Use effective text representations to transform natural language into useful features.

• Find and implement the right algorithms and tools for NLP tasks.

• Develop ML/DL/NLP models according to requirements.

• Train the developed model and run evaluation experiments.

• Perform statistical analysis of results and refine models.

• Extend ML libraries and frameworks to apply in NLP tasks.

• Building recommendation engines to increase the personalization of content for the user.

• Testing and deployment of models on cloud services i.e. AWS/GCP etc.

• Act as a bridge between product and engineering team to translate product requirements into the technical solutions.

• Stay updated and use industry best practices and latest technology trends.

• Prototype ide...