Inside Sales Manager (North America)

Experience: 3-10 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Roles and Responsibilities:

• Must have experience in Microservice architecture with the ability to collaborate effectively with team members and build positive working relationships.
• Design and build and deploy APIs to meet business requirements.
• High level of commitment to business satisfaction and agility.
• Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
• Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
• Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
• Work in an agile environment to deliver high-quality solutions.
• Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
• Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)

Research Intern 

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

Required Qualifications

Education & Experience

• Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
• Strong academic background in machine learning, deep learning, and signal processing
• Previous experience with speech processing, NLP, or audio ML projects (academic or professional)

Technical Skills

• Programming Languages: Proficiency in Python; experience with PyTorch, TensorFlow
• Speech AI Frameworks: Experience with libraries like librosa, torchaudio, speechbrain, or similar
• Machine Learning: Strong understanding of deep learning architectures, training procedures, and evaluation methods
• Data Processing: Experience with audio data preprocessing, feature extraction, and dataset management
• Tools & Platforms: Familiarity with Colab or Jupyter notebooks, Git, Docker, and cloud platforms (AWS/GCP/Azure)

Preferred Qualifications

• Experience with transformer architectures, attention mechanisms, and sequence-to-sequence models
• Knowledge of speech synthesis techniques (WaveNet, Tacotron, FastSpeech, etc.)
• Understanding of ASR architectures (Wav2Vec, Whisper, Conformer, etc.)
• Experience with model optimization techniques (quantization, pruning, distillation)
• Familiarity with MLOps tools and model deployment pipelines
• Previous work with voice AI applications or conversational AI systems

Skills & Competencies

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

Soft Skills

• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects
• Strong attention to detail and commitment to reproducible research
• Collaborative mindset and ability to work in cross-functional teams
• Curiosity and passion for staying current with AI research trends

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

The Full-Stack Engineer role involves working across prosuct development stack, including various backend systems, frontend systems as well as quick prototyping of proof-of-concept features and projects.

Responsibilities:

• Architecting Figuring out all levels of designing and structuring systems, deciding on optimal levels of abstraction and future-proofing, patterns of orchestration of components and finally planning its execution.
• Implementation Should be able to structure and write code like prose for others to read, design and adhere to common principles and patterns that make everyone better at their jobs. Should have the ability to contribute according to timelines and type of projects - from working POCs to stable production code and the ability to work with a large breadth of knowledge.
• Orchestration and integration Interact with the larger engineering team for integrating your work into the ecosystem, help others in building over the base that you provide, help in orchestrating your work into CI/CD, testing, QA and automation pipelines.
• Mentorship We all love to learn and grow as engineers and human beings and we believe in synchronous growth as a team fueled by each and every individual's personal abilities, specializations, and interests.
• To enable this you'll be required to mentor others by sharing your expertise in various forms and be subject to be mentored by others and thus maintain a continuous learning culture.
• Ownership End-to-end ownership of services and specialised components required for various projects - starting from prototypal stage to production-hardened. These may include anything from document parsing to solving problems using deep learning.
• Documentation Create advanced technical content including articles, samples, whitepapers, and training.

Job description

CGLIA is looking for IT Recruiters who have expertise in hiring through LinkedIn and other social media sites. This position is to work from our office. The Recruiter will understand the requirements and identify effective recruiting strategies to attract a diverse pool of qualified and capable talent for the organization.

 Roles and Responsibilities:

• Develop, facilitate, and implement all phases of the recruitment process.
• Coordinate with the department managers to identify and draft detailed and accurate job descriptions and hiring criteria.
• Identify and implement efficient and effective recruiting methods that work for the organization screen applications and select qualified candidates.
• Schedules interviews; oversees the preparation of interview questions and other hiring and selection materials.
• Assists with the interview process, attending and conducting interviews with managers Coordinate with the hiring manager and other human resource staff during the offer process, Initiate campus hiring, and hiring with the finishing schools.
• Performs other duties as assigned.

Required Skills/Abilities:

• Excellent skills in hiring through LinkedIn and other social media sites. Should have experience in IT recruitment and close the positions within the time frame.
• Excellent verbal and written communication skills. Ability to create and implement sourcing strategies for recruitment for a variety of roles. Proactive and independent with the ability to take initiative.
• Excellent time management skills with a proven ability to meet deadlines.
• Familiarity with laws, regulations, and best practices applicable to hiring and recruitment.
• Proficient with or the ability to quickly learn applicant-tracking software or other recruitment systems.
• Proficient with Microsoft Office Suite or related software. Passion towards recruitment and onboarding processes 

Education and Experience:

Any graduate with an understanding of IT terminologies.

Minimum 3 years of experience working for IT product companies. Should have experience in MS Word & Excel sheets.

High priority to those having experience in hiring through LinkedIn and social Media Networks, and having innovative hiring processes.

• Previous working experience as a MERN/MEAN  Stack Developer for 1 year (Minimum).
• In depth knowledge of NodeJS, ExpressJS or Restify
• Experience implementing applications using Angular 2+ versions or React
• Experience creating front end applications using HTML5, Angular/React, LESS/SASS
• Hands on experience with JavaScript
• Development on both client and server-side
• Experience on Angular 2+  and React Js will be an plus point
• Experience on both MEAN/MERN Technologies will be an advantage.

Profile Roles and Responsibilities :

A) Recruit, Train, and Coach the Sales Team

1. Recruit and train to ensure that there is enough strength to handle the sales projections 15 days in advance

2. Provide training, help, and second voice to the sales advisors to help them achieve their targets

3. Develop rebuttals for the evolving customer queries and train the team members on the same

4. Work with the Training Manager to ensure the success of trainees

B) Set goals and measure/audit performance of each team member

1. Develop sales target for each of the team member and explain them the same with deadlines

2. Measure daily, weekly, monthly performance trends of each team member and take corrective actions to match the organization's expectations

3. Conduct daily team hurdles to brief the team on the team and individual targets

4. Motivate team members to meet and exceed targets

Selling Digital Signature certificate  all over India

 Determine annual sales and profit plans by implementing marketing strategies; analyzing trends and results, in the field of e-Governance, Large IT System Integration Projects, Smart City, ERP, Cloud, BI, IOT, AI, blockchain, Digitisation and Software Applications.

 Handle Team of 5000 people.
Handle PAN India Sales team for DSC Sales

• IIT/NIT Graduates Preferred
• B.E/B.Tech with 1-2 years of experience in Ruby on Rails
• Hands on experience with using libraries such as RSpec, Beanstalkd, Faye and   background processing.
• Good knowledge of at least one of the Javascript frameworks like EmberJS, AngularJS
• Have a background in functional composition of web pages using HTML / CSS, and  turning a wireframe design into a well-formatted, user-friendly responsive web page
• Follow best practices like test-driven development, continuous integration, Agile    methodology, refactoring and code standards
• Proficient understanding of code versioning tools e.g. Git, Mercurial or SVN
• Good knowledge of schema less databases such as Elastic search, redis as well as  Relational Databases such as PostgreSQL
• Excellent problem solving skills and bringing in new, innovative ideas to the table to  make the platform more productive
• Hands-on experience on deployment and maintenance of server (knowledge about AWS  and performance monitoring tools like NewRelic / CloudWatch will be a great plus)
• Should be committed to the job and the growth opportunity in a startup
• Should enjoy working as part of a team
• Should be  proactive, self-driven, and able to thrive in a fast-moving startup environment 
• Should communicate fluently and effectively in English, internally and with external partners