Genesys, a dynamic and innovative company, is currently offering internship opportunities for individuals in their final year of BTech, MS, or PhD programs. This internship, based in the vibrant city of Hyderabad, is an excellent chance for aspiring professionals to gain hands-on experience in a cutting-edge tech environment. The ideal candidate should possess proficiency in Python or Java programming and/or have expertise in front-end frameworks. This unique opportunity at Genesys provides a platform for interns to apply their academic knowledge in a real-world setting, contributing to the company’s ongoing success while further developing their skills. If you are an ambitious student eager to make a meaningful impact and enhance your programming capabilities, Genesys welcomes you to join their team and embark on a rewarding internship journey.
Company Name: Genesys
Job Role: Intern
Job Type: Internship
Education Required: Final year of your B. Tech, MS or PhD programs.
Job location: Hyderabad
Role and responsibilities:
- Work as part of a team developing company’s next-generation AI platform while improving the current AI-enhanced products.
- Contribute to enhancement of Cloud Services via analysis, exploration and optimization.
- Contribute to algorithmic development and optimization in the areas of text analytics, NLP, data mining and data collection.
- Assist in developing and prototyping technologies for providing analytics from call center interactions.
- Actively participate in designing experiments to measure system performance.
Required Skills and Qualification:
- Final year of your BTech, MS or PhD programs.
- Proficient in Python/Java programming and/or front-end frameworks.
- Exposure to cloud technologies (AWS/Azure).
- Good understanding of theoretical concepts in NLP, Machine Learning, Statistics and other relevant areas.
- Working knowledge of using public domain deep learning toolkits such as HuggingFace, PyTorch, Tensor Flow, Transformers etc.
- Prior experience in complete life cycle of data collection projects.
