InnerHour - UX Designer

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

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

• Design and Develop: Architect, design, and implement high-performance Java-based backend services and applications.
• Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
• Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
• Collaboration: Work closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver robust solutions.
• Performance Optimization: Identify and resolve performance bottlenecks and scalability issues.
• Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
• Continuous Improvement: Stay current with the latest industry trends, technologies, and best practices in Java/Golang development, and continuously improve our development processes.

Key Responsibilities:

• Design and develop training materials for MERN Stack web application development.
• Deliver training sessions to individuals or groups in a classroom or online setting.
• Provide hands-on training on MongoDB, Express JS, React JS, and Node JS.
• Teach how to use No SQL Database, REST API, and how to connect REST API with front-end applications.
• Conduct assessments to evaluate trainees' understanding and progress.
• Provide feedback and support to trainees throughout the training process.
• Keep up-to-date with the latest trends and technologies in MERN Stack web application development.
• Collaborate with the project team to develop real-world scenarios and case studies for trainees.

Requirements:

• Minimum of 2 years of experience in MERN Stack web application development.
• Strong expertise in MongoDB, Express JS, React JS, and Node JS.
• Familiarity with asynchronous JS, No SQL Database, and REST API.
• Excellent communication and interpersonal skills.

• Experience working on Angular 2.X+
• Bootstrap/Angular Material development of web applications.
• Experience working on rest services-based architecture.
• Have used state management libraries, state Integration of Web APIs, and other 3rd party frameworks.
• Good understanding of HTML, CSS, ES6.
•  

• Design, build and maintain software applications.
• Write well-designed, testable, efficient code by using best software development practices.

Mentogram is a Singapore-based Edtech startup. Through our B2B2C online mentoring platform we are empowering creators and industry leaders to become online mentors. Our team is growing along with our customer list. We are a crew of growth hackers and tech-geeks who are passionate about helping experts impact the world with their expertise. Let's ride the tide together!

The ideal candidate will have experience in all stages of the sales cycle. They should be confident in building new client relationships and maintaining existing ones. They should have evidence of vital skills and possess good negotiation skills.

Responsibilities

• Lead a team of 5-10 BDE.
• Pitch and close deals.
• Researching organisations and individuals to find new partnership opportunities.
• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyse the market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor’s degree in business, marketing, or related field.
• Minimum 4+ years of sales and business development experience.
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organisational skills and negotiation skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Proficient in Word, Excel, Outlook, and PowerPoint.
• Comfortable using a computer for various tasks.

Perks:

• Package of 12-15 Lacs depending on Experience.
• Be part of the digital nomad scheme where you are eligible for month-long fully sponsored domestic and international trips(3-4 times a year).
• Mentorship sessions by our expert base and founding team.
• Amazing networking opportunity with top mentors and leaders on our platform.
• Recommendation letter
• Learn the ins and out of the startup ecosystem by working in a global Singapore-based startup
• Have a real impact on your work :)

We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.

We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.

Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!

Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc. 

Key Responsibilities

• Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality

• Work with the Office of the CTO as an active member of our architecture guild

• Writing pipelines to consume the data from multiple sources

• Writing a data transformation layer using DBT to transform millions of data into data warehouses.

• Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities

• Identify downstream implications of data loads/migration (e.g., data quality, regulatory)

What To Bring

• 3+ years of software development experience, a startup experience is a plus.

• Past experience of working with Airflow and DBT is preferred

• 2+ years of experience working in any backend programming language. 

• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL

• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)

• Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects

• Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure

• Basic understanding of Kubernetes & docker is a must.

• Experience in data processing (ETL, ELT) and/or cloud-based platforms

• Working proficiency and communication skills in verbal and written English.