As an Artificial Intelligence Intern at RedSKY Hospitality, you will have the opportunity to work with cutting-edge technology in the hospitality industry. We are looking for a talented individual who is proficient in Java, C++ programming, machine learning, natural language processing (NLP), and Python.
Selected intern's day-to-day responsibilities include:
1. Assist in developing AI-powered solutions to optimize operations and enhance customer experiences.
2. Collaborate with the team to analyze data and create predictive models using machine learning algorithms.
3. Implement NLP techniques to improve customer interactions and sentiment analysis.
4. Work on neural network architectures to enhance data processing and analysis.
5. Contribute to the design and implementation of data structures for efficient handling of large datasets.
6. Support the team in testing and debugging AI models to ensure accuracy and reliability.
7. Stay up-to-date with the latest advancements in AI technologies and propose innovative solutions for business challenges.
This internship will provide you with hands-on experience in the field of artificial intelligence and the chance to make a real impact on our company's success. If you are passionate about AI technology and eager to learn and grow in a dynamic environment, we want to hear from you!
Join us at RedSKY Hospitality and be part of our exciting journey towards AI-driven innovation.
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 9th May'24 and 13th Jun'24
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Candidates having a bachelors or masters degree in computer science.
RedSKY Hospitality is a revenue & hospitality management organization that helps hotels and resorts build and increase their RevPAR. We aim to enhance RevPAR and GOPPAR for our customers.
Our revenue management service increases your property exposure with increased placement, increased distribution, and content review, and provides higher bottom-line revenue at any level of demand. We apply revenue management as per the given market situation and the company's vision and goals. We make decisions based on market insights and real-time data that we gather through multiple resources.
