Data Science Intern

We are seeking a highly motivated and talented intern to join our team for a minimum of 4 months. The primary focus of this internship will be working on Nemo Models for Speech Synthesis. The ideal candidate should have a solid foundation in data science, including knowledge of Linux commands, proficiency in Python development, and a passion for working with cutting-edge technologies. This is an excellent opportunity to gain hands-on experience in the field of speech synthesis and contribute to real-world projects.

Responsibilities:

• Collaborate with the team to fine-tune Nemo Models and create new voices for speech synthesis applications.
• Utilize Linux commands and Python programming skills to implement and enhance the functionality of Nemo Models.
• Conduct research and explore innovative approaches to optimize the performance and accuracy of the models.
• Work closely with senior team members to identify and address technical challenges, and propose and implement effective solutions.
• Participate in code reviews and provide constructive feedback to improve the quality and maintainability of the codebase.
• Document research findings, experiments, and methodologies to contribute to the knowledge base of the team.

Requirements:

• Currently enrolled in the final year of university or college, pursuing a degree in a relevant field such as Computer Science, Data Science, or a related discipline.
• Proficiency in Linux commands and basic knowledge of shell scripting.
• Strong programming skills in Python, with experience in data manipulation, analysis, and visualization libraries.
• Demonstrated ability to learn quickly and adapt to new technologies and concepts.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills to work within a team environment.
• Self-motivated and proactive with the ability to work independently under minimal supervision.
• Familiarity with Nemo Models or prior experience in speech synthesis and speech recognition would be a plus.
• Knowledge of PyTorch Lightning, PyTorch, and TensorFlow is a plus.

Benefits:

• Gain hands-on experience working with cutting-edge Nemo Models for Speech Synthesis and other speech-related frameworks.
• Opportunity to contribute to real-world projects and make a tangible impact in the field of speech technology.
• Learn and develop skills in the areas of text-to-speech, natural language processing, and data-driven modeling.
• Receive mentorship and guidance from industry professionals.
• Flexible work hours to accommodate part-time (up to 20 hours per week) or full-time (at least 40 hours per week) commitments.
• Possibility of future career opportunities based on performance and availability.

Location: WFH
Stipend: 12k to 18k depending on interview performance
During internship, you have to arrange your own laptop/ PC/ hardware
There is a possibility to convert this to full time employment after completion of internship.