Junior Graphic Design

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

We are seeking a highly motivated Software Development Engineer with expertise in building scalable, extensible and user-friendly web applications. You will work with a fast paced Product Engineering team to build efficient and reusable web applications for mobile and fixed devices. 

What you’ll do:

• Architect, Design, Code reviews and build scalable applications.
• You will be engaged in identifying and addressing performance bottlenecks, and collaborate with other team members to innovate current/new products. 
• Identify, communicate and implement best practices for application engineering. 
• Ensure high scalability and performance

• You will advocate for good, clean, well-documented and performing code; define and follow standards and best practices for front-end development.

We’d love for you to have:

• Experience: 1-3 yrs recent experience of working in a scalable web product firm
• Education: B.Tech/M.Tech  in Computer Science from Top ranked colleges in India
• Excellent software development skills in developing web applications over client-side frameworks - Backbone, React (preferred) and/or angular frameworks (preferred); and server-side frameworks like node.js
• Excellent programming skills in object-oriented, modularised JavaScript, Typescript (preferred)
• Strong knowledge and working experience in server-side Event-driven programming using Node.js
• Excellent programming skills in Javascript,  jQuery, AJAX, YUI.
• Passion for writing optimized code using JS best practices  and design patterns
• Experience with JS or Java-based Unit/Integration Testing using Selenium, Appium, Selendroid
• Hands-on experience in building scalable web applications
• Excellent problem solving and debugging skills
• Good Knowledge of version control - GIT (preferred)
• Experience with the full software development lifecycle, design, develop, debug, document, and deliver (especially in a multiple site organization)
• Strong verbal and written communication skills
• Ability to deliver great results in an agile development
• Good to have: Working knowledge of web standards (i.e., REST) and OOPS
• Good to have: Experience in Data Structures, Algorithms and their optimization

Even if you don’t meet all of these qualifications above, we’d still love to hear from you. Tell us about your unique qualifications in your cover letter.

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

Qualification: CA Qualification

Location: Mumbai CST

Language: Marathi

Exper: 2 minimum

Tentative Roles and Responsibilities -

• Understanding the data requirements of each desk
• Gathering elementary level Master data by visiting each of the 15 desks
• Assess the data points of information flow in Supply Chain Management Application and mapping it with the data points of the integrated financial management system
• Assess the gathered data for optimizing the information flow in the department
• Assess the integration points and workflows of Financial Institute with other entities
• Preparation of report formats for each desk
• Review and monitor the development of key financial modules for claim settlement, reimbursements, proforma accounts, budgeting and expenditure, accounts and bookkeeping, purchase management and infrastructure and administration
• Ensuring implementation of Accounting Management related Services and coordination with appointed CA firm for its completion
• Co-ordinate with different stakeholders to appraise issues at their end, which may lead to delay in the project, suggest solutions to remove the bottlenecks
• Support in reviewing, monitoring, and management of performance and conformance to the vendor's SLA
• Develop training plans and managing the training phases for the users on the functions and operations of the new application
• Drive change management during the transition phase
• Identifying key risk areas and mitigation and management of risks
• Providing technical and project management support during implementation and post-implementation

• 5+ years of working experience in the technologies like Angular6 or higher, NodeJS & MySQL, AWS Cloud Services
• Strong Hands-on with any Enterprise Programming Language (Python/.Net) in past
• Experience with architecting, designing, and debugging MEAN, full-stack based enterprise software
• Should have expertise in designing relational database tables & writing SQL Queries, Stored Procedures, and Functions.
• Ability to handle small teams and mentor them.
• Ability to analyze, design, and build object-oriented, component-based applications.
• Extensive experience in the design, planning, and implementation of complex large-scale enterprise solutions using distributed teams within process-oriented organizations.
• Experience developing and deploying applications on Linux based operating systems
• Willingness to experiment with new and latest tools and technologies.
• Experience in Banking, Credit Card Payments, and Gateways domain would be an advantage. ·

About Toyota Connected

If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.

About the Team

Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, Computer vision, Big data, high performance cloud-based services and other cutting-edge technologies to transform the customer experience with their vehicle. Come help us re-imagine what mobility can be today and for years to come!

Job Description

The Toyota Connected team is looking for a Senior ML Engineer (Computer Vision) to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly energized, fast-paced, innovative and collaborative startup environment.

What you will do

• Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems

• Develop image analysis algorithms and deep learning architectures to solve Computer vision related problems.

• Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.

• Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations

• Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch

• Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

• Be hands-on where required and lead from the front in following best practices in development and CI/CD methods

• Own delivery of features from top to bottom, from concept to code to production

• Develop tools and libraries that will enable rapid and scalable development in the future

You are a successful candidate if

• You are smart and can demonstrate it

• You have 8+ years of experience as software engineer with minimum 3 years hands-on experience delivering products or solutions that utilized Computer Vision

• Strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure)

• Excellent proficiency in Open CV or related computer vision frameworks and libraries

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)

• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning. And experience in delivering value using these in real production environments for real customers

• You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang)

• You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these

• We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time

What is in it for you? 

• Top of the line compensation!

• You'll be treated like the professional we know you are and left to manage your own time and work load.

• Yearly gym membership reimbursement. & Free catered lunches. 

• No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.

• Opportunity to build products that improves the safety and convenience of millions of customers. 
Our Core Values

• Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
• Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
• Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
• Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
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