As an AI intern with expertise in NLP at PropLens, you will be at the forefront of cutting-edge technology in the real estate industry. You will have the opportunity to contribute to innovative projects that revolutionize how data is analyzed and utilized.
Selected intern's day-to-day responsibilities include:
1. Develop and improve the existing AI+NLP algorithms to enhance the PropLens core product
2. Assist in the design and implementation of AI models for natural language understanding and sentiment analysis
3. Collaborate with the Stakeholders to integrate NLP capabilities into existing products and services
4. Research the latest advancements in NLP and recommend strategies for implementation
5. Participate in brainstorming sessions to ideate new features and functionalities for PropLens AI-driven solutions
6. Support the testing and validation of NLP models to ensure accuracy and efficiency
7. Stay up-to-date on industry trends and advancements in AI and NLP to contribute fresh ideas and perspectives to the team
If you are passionate about artificial intelligence, NLP, and data-driven insights, this internship at PropLens is the perfect opportunity for you to gain hands-on experience and make a meaningful impact. Join us in shaping the future of real estate technology!
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 30th Apr'24 and 4th Jun'24
3. are available for duration of 6 months
4. have relevant skills and interests
1. Candidate must show a keen interest in AI/NLP Space
2. Based on the assignment submitted, candidates will be called for discussion
Stipend structure: This is a performance-based internship. In addition to the minimum-assured stipend, you will also be paid a performance-linked incentive (₹ 5000 per sprint ( 2 in a month )).
We are working in the field of supporting Real Estate Developers and Resellers in leveraging the power of AI/ML/NLP and handling customer service in an efficient manner as well as improving the score of customer satisfaction.
