- we Are Looking For An Enthusiastic Data Science Intern Who Is Passionate About Pushing Nlp,Artificial Intelligence To The Limits,Is Dedicated To The Craft,Writes Code That He / she Is Proud Of,And Can Hit The Ground Running
we Are Looking For An Enthusiastic Data Science Intern Who Is Passionate About Pushing Nlp, Artificial Intelligence To The Limits, Is Dedicated To The Craft, Writes Code That He/she Is Proud Of, And Can Hit The Ground Running. The Candidate Must Be Willing To Work With Our Team Of Talented Engineers To Design And Build The Next Generation Of Artificial Intelligence And Machine Learning Applications. what You Need For This Position
- students Pursuing B.tech/be/ms Degree In Computer Science, Engineering Or A Related Subject
- knowledge Of General Technology Landscape, Architectures, Trends Emerging Technologies
- basic Understanding Of Nlp Frameworks Libraries
- must Have Strong Programming And Debugging Skills
- extensive Experience In Java (or C++) And A Scripting Language (e.g. Python).
- passion For Best Design And Coding Practices And A Desire To Develop New Bold Ideas
- must Have Passion For Research, To Learn And To Grow
- must Be Self-Motivated And Have The Ability To Perform Under Pressure
- must Be Available For full Time (in-Office) Internship For Six (6) Months
what You Will Be Doing
- design Nlp Tools And Applications That Help Measure And Diagnose Performance Issues Deliver On Time With A High Bar On Quality Of Research, Innovation And Engineering
- select Appropriate Annotated Datasets For Supervised Learning Methods
- use Effective Text Representations To Transform Natural Language Into Practical Features
- train The Developed Model And Run Evaluation Experiments
- perform Statistical Analysis Of Results And Refine Models
- identify And Utilize The Correct Algorithms Libraries And Frameworks To Apply In Nlp Tasks
- remain Updated In The Rapidly Changing Field Of Machine Learning
- responsible For Cognitive Extraction, Technology Delivery And Operating Model Setup
- find/develop Nlp Models, Train Them And Evaluate Their Effectiveness.
- take End-To-End Ownership Of Technical Aspects Of The Product.
- work Closely With Qa Teams To Identify And Fix Any And All Bugs That Are Reported
- produce Detailed Specification Documents
- meet Departmental Goals And Defined Key Performance Indicators (kpis)