As an AI and LLM development intern at GharChalo, you will have the opportunity to work on cutting-edge projects that integrate artificial intelligence and machine learning technologies to enhance our platform. You will work closely with our team of experts to develop innovative solutions that will revolutionize the way people engage with our services. Your knowledge of Python will be key in helping us build advanced algorithms and data models that drive our technology forward.
Selected intern's day-to-day responsibilities include:
1. Collaborate with the development team to design and implement AI-based features for our platform
2. Assist in the creation of machine learning models to analyze user behavior and preferences
3. Conduct research to stay current on the latest trends and advancements in AI and machine learning
4. Optimize algorithms for efficiency and performance to ensure a seamless user experience
5. Test and debug code to identify and resolve any issues that may arise during development
6. Work on data collection, processing, and analysis to improve the accuracy of our AI models
7. Contribute ideas and insights to help drive innovation and creativity within the team
If you are passionate about AI and machine learning, eager to learn and grow in a fast-paced environment, and ready to make a real impact, then this is the perfect opportunity for you. Join us at GharChalo and be a part of something truly transformative in the world of 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 13th May'24 and 17th Jun'24
3. are available for duration of 6 months
4. have relevant skills and interests
GharChalo is an integrated technology platform to connect migrants with volunteers and enterprises to smoothly provide evacuation services across the country. In the biggest humanitarian crisis since independence, we are at the forefront of delivering free bus services and other allied services to those in need.
