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QC Analyst - Telugu
Deliver seamless, omnichannel customer experiences using agentic AI to automate voice, chat, and email support across 30+ languages for enterprise brands.
Education Requirements:
Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Telugu Language, or a related field
Experience Requirements:
1-3 years of work experience
Previous experience in linguistic analysis, translation, or NLP projects is desirable
Experience in working with language data and annotation tools
Other Requirements:
Proficiency in Telugu, including grammar, syntax, and cultural nuances
Understanding of NLP and conversational AI technologies
Understanding of machine learning concepts for language processing
Strong communication skills and attention to detail
Responsibilities:
Conduct linguistic analysis of Telugu language to identify patterns and nuances
Collaborate with development to refine language models considering syntax and grammar
Translate and localize content from English into Telugu ensuring cultural accuracy
Conduct rigorous testing and quality assurance of the conversational AI system
Work on data collection, annotation, and validation for training models
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Associate Marketing Manager
Deliver seamless, omnichannel customer experiences using agentic AI to automate voice, chat, and email support across 30+ languages for enterprise brands.
Benefits:
End-to-end ownership of marketing initiatives
Cross-functional exposure to sales, product, and leadership teams
Creative environment that values innovation and experimentation
Experience Requirements:
2-4 years of work experience
2+ years in marketing or product marketing
Social media management exposure (B2B experience preferred)
Other Requirements:
Excellent written communication and storytelling skills
Working knowledge of design tools like PowerPoint or Canva
Hands-on experience managing LinkedIn pages and analyzing data
AI fluency and comfort using AI tools for content creation
Responsibilities:
Own sales enablement materials: pitch decks, battlecards, and case studies
Drive product storytelling and coordinate production of explainer videos
Lead LinkedIn strategy including content planning and performance reporting
Maximize multi-channel content by adapting narratives for X, Instagram, and YouTube
Collaborate across teams to ensure cohesive messaging and positioning
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Cloud Engineer
Deliver seamless, omnichannel customer experiences using agentic AI to automate voice, chat, and email support across 30+ languages for enterprise brands.
Experience Requirements:
2-4 years of work experience
Extensive experience with Azure cloud services
Hands-on experience with Linux systems
Other Requirements:
Proficiency in scripting using PowerShell, Shell Scripts, Azure CLI, ARM, Terraform, or Ansible
Strong understanding of DevOps practices and CI/CD pipelines with Jenkins
Experience with monitoring tools like Graylog, Nagios, and Azure Monitor
Familiarity with network analysis tools like WireShark
Python proficiency is a plus
Responsibilities:
Design, implement, and manage scalable and secure cloud infrastructure on Azure
Perform regular system monitoring and troubleshoot issues
Automate operations and processes using DevOps tools and methodologies
Collaborate with development teams for seamless integration and delivery
Manage and optimize performance, utilization, and costs in Azure
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Alliance and Partnership Manager
Deliver seamless, omnichannel customer experiences using agentic AI to automate voice, chat, and email support across 30+ languages for enterprise brands.
Education Requirements:
Bachelor's degree in Business, Marketing, or a related field
MBA or equivalent preferred
Experience Requirements:
5-7 years of total work experience
7+ years in strategic partnership management within the SaaS or Enterprise or B2B industry
Other Requirements:
Excellent understanding of SaaS business models, market trends, and competitive landscape
Exceptional negotiation, communication, and presentation skills
Proficiency in CRM
Ability to think strategically and creatively
Responsibilities:
Collaborate with executive team to define partnership strategy and objectives
Identify and prioritize potential partners based on alignment with company goals
Lead partnership negotiations and manage partnership contracts
Collaborate with cross-functional teams to define joint initiatives and co-marketing
Develop and maintain metrics to track the effectiveness of partnerships
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Enterprise Account Manager
Deliver seamless, omnichannel customer experiences using agentic AI to automate voice, chat, and email support across 30+ languages for enterprise brands.
Education Requirements:
Master's Degree from a reputed institute
Experience Requirements:
7-10 years of total work experience
7+ years in Enterprise Account Management
Proven work experience as an Enterprise Account Manager, Customer Success Manager, or Sales Account Manager
Other Requirements:
Experience with SaaS or enterprises based products
Solid experience with CRM software and MS Office (particularly MS Excel)
Willingness to travel as needed to meet with clients
Demonstrable ability to communicate and influence key stakeholders at executive and C-level
Responsibilities:
Manage a strong portfolio of our Enterprise Customer Base and provide strategic guidance
Work collaboratively with cross-functional teams to deliver solutions
Identify opportunities for upselling and cross-selling across C-suite level
Develop and execute account plans that align with the client's objectives
Conduct regular business reviews with clients to track progress
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Head – North America Delivery Success, Talent & AI
Accelerate enterprise growth by embedding AI throughout your application and data landscapes with expert consulting, implementation, and managed services.
Experience Requirements:
10+ years of hands-on Salesforce delivery experience (mandatory)
Proven track record delivering Salesforce projects with high customer satisfaction
Experience working in onshore–offshore delivery models
Preference for candidates who have grown from techno-functional consultant roles into engagement managers
Other Requirements:
Entrepreneurial mindset
Passion for building delivery excellence
Comfort working hands-on across multiple projects
Builder's mindset
Responsibilities:
Partner with engagement and delivery teams to ensure successful project outcomes
Design, document, and continuously improve a robust delivery-execution framework
Coach and mentor Salesforce project managers, business analysts, and technical leads
Introduce practical uses of AI and automation to improve Salesforce delivery efficiency
Own and enforce structured handoffs between NA and India delivery teams
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Industry Consultant - Capital Markets
Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.
Benefits:
Group Medical polices - INR 5,00,000
Term Insurance and Accidental Insurance
Equal Employment Opportunity
Maternity Leave
100% Sponsorship for certification
Education Requirements:
Post Graduate, preferably premier B-school
Experience Requirements:
8- 12 years work experience
Min 7 years of relevant experience in Capital Markets/Investment Banking Domain
Other Requirements:
Understanding of evolving business and technology landscape
Knowledge of Custody applications
Experience interfacing with IT teams
Advanced knowledge in MS Office products
Responsibilities:
Nurture existing client accounts
Recommend strategies for improving customer service or revenue
Train new employees in capital markets systems
Develop proposals for data and analytics maturity
Provide expert industry insights and advice
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Senior DevOps Engineer
Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.
Benefits:
Opportunity to contribute to an entrepreneurial culture
Collaborative and innovative work environment
Competitive Salary Packages
Group Medical Policies
Equal Employment Opportunity
Education Requirements:
Bachelor’s degree in computer science, Engineering, or a related field
Master's degree preferred
Experience Requirements:
4-8 years work experience
3+ Years of experience in the role of infrastructure, DevOps, platform
Thorough understanding of software development lifecycle
Other Requirements:
Sound knowledge of Linux system & networking internals
Experience working with AWS, GCP, Azure
Hands-on with IAC - Terraform or others
Kubernetes, helm and service mesh deployments
Server-side scripting using bash, python
Responsibilities:
Design and implement DevOps solutions
Build robust DevOps processes for efficiency and scalability
Focus on automation within the project landscape
Ensure scalable, secure, and efficient deployment processes
Drive continuous improvement in operational workflows
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Lead DevOps Engineer
Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.
Benefits:
Opportunity to contribute to an entrepreneurial culture
Collaborative and innovative work environment
Competitive Salary Packages
Group Medical Policies
Equal Employment Opportunity
Education Requirements:
Bachelor's Degree in Computer Science, Technology or equivalent experience
Experience Requirements:
4-8 years work experience
6+ years of experience in the role of infrastructure, DevOps, platform or SRE engineering
Proven experience in leading and managing a team of DevOps engineers
Other Requirements:
Expert knowledge of Linux system & networking internals
Significant experience with AWS, GCP, Azure
Hands-on with Terraform or others
Solid understanding of Kubernetes, helm and service mesh
CI/CD on cloud
Responsibilities:
Lead DevOps team
Oversee day-to-day operations
Ensure effective stakeholder management and executive reporting
Establish best practices and efficient DevOps designs
Mentoring & coaching fellow engineers
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Sales Manager
Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.
Benefits:
Group Medical polices - INR 5,00,000
Equal Employment Opportunity
Maternity Leave
100% Sponsorship for certification
Flexible work hours
Education Requirements:
Engineer (BTech/BE)
MBA
Experience Requirements:
7-10 years work experience
7-12 Years of experience in sales in IT/ITES/Consulting/Analytics
Other Requirements:
Enterprise sales experience is a Must
Personal connects with CxO levels
Familiarity with selling cloud Platforms
Critical thinker and growth mindset
Customer first attitude
Responsibilities:
Identify appropriate prospects
Manage sales cycle to Close new business
Mining strategic accounts
Achieve sales goals
Develop growth strategies in coordination with leadership
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Application Architect
Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.
Benefits:
Group Medical polices - INR 5,00,000
Equal Employment Opportunity
Maternity Leave
100% Sponsorship for certification
Flexible work hour
Education Requirements:
B.Tech
M.Tech
PhD
Experience Requirements:
4-8 years work experience
Other Requirements:
Programming Language (JavaScript/TypeScript, HTML, Java)
Microservice architecture knowledge
Knowledge of Docker, Kubernetes, nginx
Experience with Cloud (AWS, GCP, Azure)
Git Version Control
Responsibilities:
Designing secure and scalable systems and applications
Analysis of business requirements for cloud platforms
Delivering high speed, pixel perfect web applications
Solve design and technical problems
Facilitate technical discussions with stakeholders
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FullStack Engineer (Noida, India)
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
B.E/B.Tech/M.E/M.Tech from Tier-I engineering institutes
Experience Requirements:
1–3 years of full-stack development
1+ years of web application development
Other Requirements:
Strong proficiency in JavaScript/TypeScript, HTML, and CSS
Solid understanding of React ecosystem
Experience with Django (Python) and Node.js (NestJS)
Experience with relational (PostgreSQL) and NoSQL (MongoDB) databases
Experience with Redis or similar caching systems
Responsibilities:
Own end-to-end development of features and tools
Build web interfaces for customer-facing products
Turn designs and wireframes into production-ready code
Develop features using React and backend services (Django, NestJS)
Design and implement RESTful APIs and GraphQL interfaces
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Implementation Engineer (Remote)
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
Bachelor's degree in Computer Science, Information Systems or equivalent
Experience Requirements:
3+ years of experience in a hands on technical role
1+ years of experience in development or SaaS solutions
Other Requirements:
Experience interacting with APIs and cloud services
Experience with CRM integrations like Salesforce
Proficiency in Python and JavaScript
Comfortable working in EST hours (3:30 AM IST)
Experience with intent-based and generative AI
Responsibilities:
Communicate infrastructure and technology to technical and non-technical audiences
Spearhead technical discussions with customers during delivery
Develop tactical solutions for strategic customer setup
Collaborate with Sales Engineers to create POC solutions
Manage technical configurations including telephony and data integrations
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Technical Account Manager(Remote)
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
Bachelor's degree in Computer Science, Information Systems or equivalent
Experience Requirements:
2-3+ years in a hands on technical role
2-3+ years delivering successful customer implementations
Other Requirements:
Understanding of SaaS platforms, APIs, and cloud services
Strong project management skills
Comfortable working EST hours
Familiarity with CRM integrations (Salesforce, Zendesk)
Responsibilities:
Serve as primary point of contact for key client accounts
Handle onboarding of multiple clients simultaneously
Collaborate with internal teams to resolve technical issues
Communicate technical information to non-technical stakeholders
Identify opportunities for upselling and cross-selling
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Sr. Machine Learning Engineer (Speech) - AI
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
Bachelor's degree in Computer Science or a related field
Tier-1 engineering institute
Experience Requirements:
2+ years of experience
Other Requirements:
Experience deploying Deep Learning based models for speech recognition
Awareness of SOTA research in speech recognition and signal processing
Strong knowledge of Machine Learning fundamentals
Experience with Python and Pytorch
Responsibilities:
Work on transcription, diarization, and voice activity detection
Train, deploy and maintain scalable ASR pipelines
Keep abreast of SOTA techniques in ASR
Develop architecture and design of systems
Conduct experiments with model architectures and training schemes
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Solutions Architect (Remote)
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
Bachelor's degree in Computer Science, Information Systems or equivalent
Experience Requirements:
3+ years of experience in a hands on technical role
1+ years of experience in development or SaaS solutions
Other Requirements:
Experience with APIs and cloud services
Proficiency in Python and JavaScript
Comfortable working in EST hours
Experience with intent-based and generative AI
Responsibilities:
Communicate infrastructure and technology to prospects and internal teams
Support pre- and post-sales activities via technical discussions
Optimize customer workflows within the platform
Manage technical configurations and data integrations (SFTP/API)
Collaborate with product and engineering to resolve technical issues
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Senior Machine Learning Engineer - Research
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
B.Tech/M.Tech/PhD in computer science or mathematics-related fields
Tier-1 engineering institutes
Experience Requirements:
3+ years of industry experience in Machine Learning and NLP
Other Requirements:
Strong coding skills in Python and Pytorch
Familiarity with Transformers and LangChain/LangGraph
Practical experience with text classification, entity tagging, and RAG
Experience with BERT, Llama, Qwen, Gemma, or DeepSeek
Knowledge of model deployment using Docker and Kubernetes
Responsibilities:
Innovate and use cutting-edge ML techniques for data-driven solutions
Work on NLP problems like voice agents, classification, and summarisation
Collaborate with cross-functional teams to integrate AI solutions
Build, deploy and own scalable production NLP pipelines
Propose suitable evaluation metrics and establish benchmarks
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Senior Machine Learning Engineer - NLP
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
B.E/B.Tech/M.E/M.Tech/PhD from tier1 engineering institutes
Computer science or mathematics-related fields
Experience Requirements:
3+ years of experience in AI/ML
Other Requirements:
Strong coding skills in Python
Familiarity with LangChain or Transformers
Interest in LLMs, agents, and open-source AI ecosystem
Responsibilities:
Assist in building LLM-powered agents
Support prompt engineering, RAG, and tool integrations
Collaborate on experiments with open-source and commercial LLMs
Implement and evaluate reasoning, planning, and memory modules
Deploy and monitor AI features in production
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DevOps Engineer
Optimize contact center performance and drive customer satisfaction through automated QA scoring, real-time agent coaching, and human-quality AI virtual agents.
Benefits:
Market-leading compensation
Education Requirements:
Bachelor's or above with a good academic background
Experience Requirements:
2-4 years of meaningful work experience in DevOps handling complex services
Other Requirements:
Strong expertise with GCP, Docker, Kubernetes, CI/CD, and Jenkins
Extensive experience with Terraform
Experience with HELM and Kubernetes HPA
Observability monitoring using Prometheus, Grafana, Loki, or Datadog
Responsibilities:
Design and build ML system infrastructure (cloud and on-premise)
Build operating dashboards for system tracking and root cause analysis
Identify and evaluate relevant tools to improve processes
Collaborate with AI team to drive ML projects to completion
Monitor system health, security, scalability, and reliability
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UI Developer
Modernize energy and water utility operations with an AI-native platform that connects customers, workforce, and the grid to drive conservation and efficiency.
Experience Requirements:
Minimum 3 years of experience in Designing
Other Requirements:
Web2.0, W3c, Ajax, JavaScript, jQuery
Photoshop, Illustrator, Dream Weaver, Flash
HTML5, XHTML, DHTML, CSS 3, Bootstrap, ReactJS, AngularJS, Material UI
Mobile UI design
Responsibilities:
Designing high-quality front-end websites including new web interfaces
Helping development team to merge html code on .net, java or any other language
Mobile UI design
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