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 ideas rapidly using cutting edge ...