Artificial Intelligence is rapidly transforming healthcare, and speech AI is becoming one of the most impactful technologies in this space. Ai India Innovations is currently expanding its AI team and hiring talented professionals for Automatic Speech Recognition (ASR) roles focused on healthcare AI solutions.
This is an excellent opportunity for machine learning engineers, AI researchers, and students passionate about speech processing, deep learning, and healthcare-focused AI systems.
AI India Innovations Recruitment 2026 Overview
| Organization | Ai India Innovations |
|---|---|
| Job Role | Machine Learning Engineer – ASR |
| Internship Role | Machine Learning Engineer Intern – ASR |
| Experience Required | 1 to 3 Years |
| Internship Duration | 6 Months |
| Job Type | Full-Time & Internship |
| Domain | Artificial Intelligence / Speech AI / Healthcare AI |
| Preferred Candidates | Immediate Joiners |
| Application Mode | Email Application |
| Apply Email | [email protected] |
Available Positions
1. Machine Learning Engineer – ASR (Full-Time)
Candidates with 1–3 years of experience in machine learning, speech recognition, and deep learning can apply for this role.
2. Machine Learning Engineer Intern – ASR
This internship is ideal for students or freshers who have already worked on projects related to speech AI, ASR systems, or audio machine learning.
What You Will Work On
Selected candidates will work on advanced speech AI and healthcare-focused AI systems, including:
- Designing and training Automatic Speech Recognition (ASR) models
- Working with models such as:
- Whisper
- Canary-Qwen-2.5B
- Qwen3
- MedASR
- Building end-to-end speech AI pipelines
- Speech data preprocessing and transformation
- Large-scale speech and text dataset handling
- Deep learning for audio and speech recognition
- Benchmarking ASR system performance
- NLP tasks including Named Entity Recognition (NER)
- Working with healthcare AI applications
The role also includes collaboration with engineering teams and deployment-ready AI solution development.
Key Responsibilities (Full-Time Role)
Candidates selected for the full-time role will be responsible for:
- Leading ASR model experimentation and development
- Designing benchmarking and evaluation frameworks
- Mentoring interns and junior engineers
- Conducting technical reviews
- Collaborating with external stakeholders and deployment partners
Required Skills
Applicants should have strong knowledge in:
- Machine Learning
- Deep Learning
- Speech Processing
- Acoustic Models
- Language Models
- PyTorch or TensorFlow
- NLP and NER tasks
- Large-scale ML pipelines
Preferred Skills
Candidates with the following additional skills will have an advantage:
- Experience with Whisper, wav2vec, or Kaldi
- Knowledge of multilingual or Indian language datasets
- Real-time AI deployment experience
- Model optimization techniques
- Healthcare AI project experience
Internship Eligibility
Internship applicants should:
- Have completed projects in ASR or speech processing
- Possess hands-on experience in deep learning
- Be available for a 6-month internship
- Be passionate about healthcare AI and speech technologies
Why This Opportunity is Valuable
This opportunity allows candidates to work on real-world healthcare AI systems that can impact medical transcription, speech analytics, and multilingual healthcare communication systems.
Professionals interested in speech AI, NLP, and healthcare technology can gain hands-on experience with production-grade ASR systems and cutting-edge AI models.
How to Apply
Interested candidates can apply by sending their updated resume to:
Email: [email protected]
Also, LinkedIn Official Job Information
Candidates with immediate joining availability and prior ASR experience are preferred.
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