AI Research Internship

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

---