About the role
Josh Talks is hiring AI/ML Interns in Gurgaon for students graduating in 2027. The opportunity is focused on speech, audio, NLP, and multimodal AI. Interns will work on fine-tuning speech and language… Subscribe to Premium to view the full description and apply.
Responsibilities
- Fine-tune speech and language models such as Whisper, wav2vec2, and HuBERT.
- Build speech-driven pipelines, classifiers, and assistants.
- Work on speech, audio, NLP, and multimodal AI projects.
- Develop and experiment with AI/ML models using PyTorch, TensorFlow, or Hugging Face Transformers.
- Work with cloud platforms such as AWS, GCP, and Azure.
- Use container technologies such as Docker and Kubernetes.
- Work with multilingual or low-resource speech data.
- Contribute to ML workflows, data versioning, and orchestration where applicable.
Requirements
- B.Tech/B.E. student graduating in 2027.
- CSE, EE, AI/ML, or related field.
- Strong interest in speech, audio, NLP, or multimodal AI.
- Knowledge of speech or language model fine-tuning.
- Experience with PyTorch, TensorFlow, or Hugging Face Transformers.
- Knowledge of AWS, GCP, or Azure.
- Knowledge of Docker and Kubernetes.
Benefits
- Hands-on experience in AI/ML
- Exposure to speech, audio, NLP, and multimodal AI
- Experience with modern deep learning frameworks
- Exposure to cloud and container technologies
- Opportunity to work with speech and language models
Required Skills
Frequently Asked Questions
What is the salary for AI/ML Intern?
The listed salary for AI/ML Intern at Josh Talks is ₹30,000/month.
Where is this AI/ML Intern role located?
This position is based in Gurgaon (Not Specified).
What experience is required for AI/ML Intern?
Candidates are expected to have Fresher of experience for this role.
How do I apply for AI/ML Intern at Josh Talks?
Use the Apply button on this HireDoor job page to submit your application for AI/ML Intern at Josh Talks.
What are the key benefits for AI/ML Intern?
Key benefits include: Hands-on experience in AI/ML; Exposure to speech, audio, NLP, and multimodal AI; Experience with modern deep learning frameworks; Exposure to cloud and container technologies; Opportunity to work with speech and language models.
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