About PGAGI
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview
We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.
Key Responsibilities:
Model Evaluation & Benchmarking
- Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
- Design and implement evaluation metrics and frameworks for speech quality assessment
- Perform comparative analysis of model performance across different datasets and use cases
- Generate detailed reports on model strengths, weaknesses, and improvement opportunities
Competitive Analysis
- Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
- Analyze feature sets, performance metrics, and user experience across different voice agent platforms
- Conduct technical deep-dives into competitive architectures and methodologies
- Provide strategic recommendations based on competitive landscape analysis
Research & Innovation
- Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
- Research novel approaches to improve ASR and TTS model performance
- Investigate new architectures, training techniques, and optimization methods
- Stay current with academic literature and industry developments in speech AI
Model Development & Training
- Assist in training TTS and ASR models on various datasets
- Implement and experiment with different model architectures and configurations
- Perform model fine-tuning for specific use cases and domains
- Optimize models for different deployment scenarios (edge, cloud, real-time)
- Conduct data preprocessing and augmentation for training datasets
Documentation & Reporting
- Maintain detailed documentation of experiments, methodologies, and results
- Prepare technical reports and presentations for internal stakeholders
- Contribute to research publications and technical blog posts
- Create visualization and analysis tools for model performance tracking
Technical Competencies
- Strong analytical and problem-solving abilities
- Ability to design and conduct rigorous experiments
- Experience with statistical analysis and performance metrics
- Understanding of audio signal processing fundamentals
- Knowledge of distributed training and large-scale model development
Duration: 6 months
Compensation:
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
What You'll Gain
Learning Opportunities
- Hands-on experience with state-of-the-art speech AI technologies
- Exposure to full model development lifecycle from research to deployment
- Mentorship from experienced AI researchers and engineers
- Opportunity to contribute to cutting-edge research projects
Professional Development
- Experience with industry-standard tools and methodologies
- Opportunity to present research findings to technical and business stakeholders
- Potential for research publication and conference presentations
- Networking opportunities within the AI research community
#AIResearch #Artificialintelligence #AIenthusiasts #Aiintern #Artificialintelligenceresearch #AIResearchIntern
Shubham Vishwakarma
Full Stack Developer - Averlon
About PGAGI
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