As an AI/ML intern, you will work closely with our AI/ML team to develop and enhance our audio data processing capabilities. You will be involved in projects that require expertise in speech data, audio signal processing, transcription, translation, and fine-tuning audio models using Whisper AI. This internship will provide you with hands-on experience and the opportunity to work on real-world applications.
Selected intern's day-to-day responsibilities include:
1. Process and analyze speech data to extract meaningful insights
2. Develop and implement audio signal processing algorithms
3. Work on transcription and translation of audio data using state-of-the-art techniques
4. Fine-tune audio models, particularly using Whisper AI
5. Collaborate with team members to integrate audio processing solutions into existing systems
6. Conduct experiments and evaluations to improve model performance
7. Document methodologies, experiments, and results
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 26th Jun'24 and 31st Jul'24
3. are available for duration of 1 month
4. have relevant skills and interests
1. Currently pursuing a degree in Computer Science, Electrical Engineering, Data Science, or a related field.
2. Strong proficiency in Python programming.
3. Experience with audio signal processing and speech data analysis.
4. Familiarity with transcription and translation techniques.
5. Hands-on experience with Whisper AI or similar tools for fine-tuning audio models.
6. Knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, etc.
7. Ability to work independently and collaboratively in a team environment.
8. Strong problem-solving skills and attention to detail.
Indika AI is a global data service company working with some of the advanced artificial intelligence (AI) companies across the world to help them train their AI models with exceptional quality training data. We provide data annotation, search relevance, and content moderation services.