11+ ACD Jobs in India

Remote Opportunity

Contact Center Solution Design and Implementation

IVR Systems Development (Google CCAI, Genesys Cloud, Amazon Connect, Five9, Cisco, Avaya, or other CCaaS platforms)

API, Web Services, Messaging, CMS, Ticketing Systems, and Backend Integrations

Automatic Call Distribution (ACD), Computer Telephony Integration (CTI), Call Routing, Queues, RTI, Queue Management, Skill-Based Routing, and Escalation Paths

Live Agent Operations (Disposition Codes, AHT, Warm/Cold Transfers)

Call Flow, Agent Script, and Customer Workflow Design

SIP and Telephony Integration

Communication and Interpersonal Skills

Team Collaboration and Independent Work Abilities

About the Role

As an SDET II, you'll own significant parts of our test infrastructure and drive quality strategy across the engineering team. You'll design testing approaches for complex features, mentor junior engineers, and make architectural decisions that impact how we approach automation at scale.

What You'll Do

• Architect and implement test frameworks and infrastructure
• Design testing strategies for new features and platform capabilities
• Mentor SDET I engineers and conduct technical code reviews
• Refactor and optimize existing test suites for maintainability and performance
• Make architectural decisions about test design patterns and abstractions
• Build and manage AWS-based test environments and infrastructure
• Integrate testing earlier in the development lifecycle through cross-team collaboration
• Optimize CI/CD pipeline performance and test execution times
• Develop custom tooling and reporting to surface quality insights

Technical Requirements

Core Skills:

• Advanced TypeScript expertise: generics, decorators, advanced typing patterns, type inference
• Deep understanding of asynchronous programming, concurrency, and race condition prevention
• Strong software design principles with domain-driven design (DDD) approach
• Extensive experience with Playwright including deep knowledge of fixtures architecture
• Expert-level Git, GitHub, and distributed version control workflows
• Layered architecture design: understanding PCOM (Page Component Object Model) and POM patterns
• Object-oriented design in test frameworks—building scalable abstractions over linear scripts
• API testing and orchestration (REST/GraphQL integration with UI workflows)

Infrastructure & DevOps:

• AWS: EC2 configuration, CloudWatch log analysis, debugging cloud environments
• Terraform for infrastructure as code (plus)
• Docker: containerization, docker-compose, image management
• CI/CD debugging: analyzing pipeline failures, optimizing execution
• Advanced reporting: Allure configuration, Playwright HTML reports, custom reporting solutions

Additional Experience:

• Test infrastructure development and framework architecture
• Design patterns implementation (Factory, Builder, Facade, Composite)
• Performance optimization at scale
• npm ecosystem and package management

🚀 AI Marketing Automation Developer Intern

AI-First | High Ownership | Long-Term Opportunity

📍 About the Role

We are building an AI-first marketing and communications engine across multiple products and brands.

This role is for someone who wants to use AI to eliminate manual work, not do more of it.

This is not a traditional marketing internship.

It is a builder role focused on automation, experimentation, and systems thinking.

🧠 How We Work

• AI-first, automation-first mindset
• We focus on outcomes, not activity
• You will work independently on clearly defined objectives
• Minimal meetings, maximum ownership
• Trial, iterate, break, fix, and improve
• What you build is expected to be production-ready, not just a demo

We use modern AI tools (including Cursor and LLMs) and expect you to learn fast and apply faster.

✅ Who This Is For

This role is a strong fit if you:

• Think in terms of systems and leverage
• Enjoy solving open-ended problems
• Are comfortable with ambiguity
• Like experimenting until something works
• Want to work in a real AI-first environment, not just talk about AI

Background matters less than mindset.

Engineering, tech-savvy marketing, or self-taught AI backgrounds all work.

❌ Who This Is NOT For

• Manual or repetitive marketing work
• Copy-paste or template-only roles
• People who need detailed step-by-step instructions

🌱 Growth & Long-Term Path

This is a long-term internship, not a short project.

Interns who:

• Consistently deliver
• Show ownership
• Fit into our AI-first work culture

👉 Will be converted to full-time roles.

Hiring and conversion decisions are made jointly by the founders and the automation team lead.

🕒 Commitment

• 20–30 hours per week minimum
• Fully remote
• Flexible working hours (output > hours)

💡 How to Apply

Send:

A short note on why this role excites you

Any proof of:

• AI tools you’ve used
• Automation you’ve attempted
• Projects you’ve built (academic, personal, or professional)

No formal resume required if your work speaks for itself.

Minimum 1-3 years of experience in graphic design, branding, illustrations etc in Creative Agencies. Experience in basic graphic design software - Adobe Photoshop, Adobe Illustrator etc. Experience in Animation software - Flash/After Effects is preferred Good communication skills. Experience in Adobe Creative Suite (at least Photoshop, Illustrator and After Effects). Experience with other creative software is a big plus.

Freshers are eligible to take interview

Video Editor:

1+ years of video editing and design experience in Adobe Premiere Pro and After Effects (including sound sync, audio noise removal, colour correction, title animations, should work on templates) Ability to work independently and be a proactive learner Good communication skills verbal and written Excellent project management skills and ability to deliver projects according to timelines.

• Programming Language: Python (Strong knowledge)
• Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
• Memory Management: Reference Counting, Global Interpreter Lock (GIL)
• Distributed Computing: Dask, Apache Spark (Preferred)
• Data Processing: NumPy
• Inter-Service Communication: GRPC, REST API
• Containerization & Orchestration: Docker, Kubernetes
• Software Development Practices: Code Optimization, Debugging, Performance Tuning
• Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed

Skills And Expertise

• Python, 
• Multithreading, 
• Multiprocessing, 
• Dask, Apache Spark, 
• NumPy, 
• REST API, 
• Docker, 
• Kubernetes, 
• Code Optimization

Job description

Truww is a technology platform providing end-to-end home interiors. Through technology, we are leading in providing customized beautiful designs, delivered at lightning speed to customers. Our shortest TAT is 30 days - the fastest in the industry.

Designers are the backbone of our success. We are the most designer-friendly interior design platform, we believe in creative designing supported through unbeatable technology. Our full-stack platform ensures:

* Customised designing

* Instant live rendered walkthroughs

* Live pricing

* Automated Working Drawings

* Automated Design to Procurement and production

* Error-free and timely installation

The scale of Operations and Growth Outlook :

• Starting in 2020, Truww has rapidly built one of the best technology platforms for interiors. We are now looking at having the best design community.
• Being bootstrapped, our company is highly frugal. We have a long-term approach and a great culture, we are like a family.

The ideal candidate will have excellent creative thinking skills and be able to create designs based on conversations with a client. The candidate should be confident communicating regularly with the client to assess their needs and be able to adjust a given approach based on feedback. The candidate should maintain familiarity with the interior design landscape and trends to provide the best ideas for clients.

Responsibilities

• Create attractive designs and layouts for various projects
• Meet with the client to understand the client's objectives and desires
• Communicate effectively with clients, vendors and teams to address client's needs
• Prepare presentations (3D, 2D,mock-ups and renderings) for clients
• Create quotes for clients and ensure full workflow is followed
• Maintain industry knowledge to stay relevant

Qualifications

• Bachelor's degree 2 - 3 years of experience in related field Proficient in AutoCAD and Microsoft Office suite
• Should be proficient in SketchUp
• Strong creative and communication skills
• Demonstrated ability to execute

Working Days: Tuesday - Sunday (Monday fixed week off)

Work Timing: 11AM - 7PM

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology