4 Amazon Polly Jobs

DESCRIPTION As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Want to disrupt an industry by delighting customers Looking for a job where your work can have direct and massive impact Excited to join one of the newest and most exciting AWS services Come be a leader on a team that is building a product that will touch millions of people daily. Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. Industry analysts have said, Amazon Connect is quietly positioned to massively disrupt by enabling companies to focus on customer service, not service centers. and Amazon is totally disrupting the customer contact center space as they have many other market-spaces with customer-centric solutions with open platform integration with assistance from the partner community. We are seeking Systems Engineers who are experts in SIP/VoIP to join our Hyderabad team to help us support and expand the Amazon Connect telecom infrastructure. Amazon Connect supports thousands of concurrent customer calls and tens of thousands of agents using an internally developed SIP based Call Center Platform. Our technology is compelling, as it solves a common problem in a novel way - and it is unique in the industry. We are looking for engineers to help us expand our infrastructure to new global regions, support existing implementations, and innovate telecom network operations through tooling and processes to improve customer productivity. Be part of the team that handles large amount of phone calls, among the largest in contact center platforms globally. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation telecom infrastructure, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus. The ideal candidate will have deep experience working with, preferably in a large scale, distributed environment. You understand technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS . 3+ years of network and operating system support experience . Bachelor's degree in computer science or equivalent, or 3+ years of technical support experience . 3+ years of Telephony related experience, ie SIP, RTP, Voip, Open source voice services PREFERRED QUALIFICATIONS . Experience troubleshooting telephony systems in a carrier environment. . Experience with open-source VoIP systems like Asterisk, Free-Switch, SIPp, SER . Operational experience in a 24/7 production environment . Experience working as part of a global team Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Summary: We are looking for a skilled AI/ML Developer to join our team, responsible for integrating Amazon Connect with Amazon Lex and Salesforce . The ideal candidate will leverage Amazon Lex to understand and respond to customer queries (such as booking a rental showing), call Salesforce for data processing, and integrate the response back into the customer conversation seamlessly within Amazon Connect. This is a key role for automating and enhancing customer interactions using AI-driven technologies and cloud services. Key Responsibilities: Integration Development & Solution Design: Design and develop intelligent customer service workflows using Amazon Connect and Amazon Lex to handle customer requests, such as booking rental showings, by processing customer inputs (e.g., voice commands) and querying Salesforce for information. Build and maintain Amazon Connect Contact Flows that integrate seamlessly with Amazon Lex to automate customer interactions, such as understanding requests and responding in a human-like manner. Integrate Salesforce with Amazon Lex via AWS Lambda to retrieve relevant data, such as availability for rental showings or property details, and pass that information back to Amazon Lex for dynamic responses. Bot Development and AI Model Management: Leverage Amazon Lex to design and implement conversational AI models that can handle complex interactions, including NLP (Natural Language Processing) to understand customer intent. Ensure the Lex bot can query Salesforce for available data, using Lambda functions for API calls to Salesforce . Implement and optimize AI models to respond to customers in a human-like manner , ensuring natural conversation flow from the bot. AWS Lambda & Salesforce Integration: Develop AWS Lambda functions to facilitate communication between Amazon Lex and Salesforce , ensuring seamless data flow. For example, when a customer asks for details, Lex will query Salesforce for available data and then provide a confirmation to the user. Ensure that Lambda functions are designed to handle real-time API requests to Salesforce, extract relevant data , and return that data to Amazon Lex for appropriate responses. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum of 5+ years of experience in AI/ML development with a strong focus on AWS technologies, especially Amazon Connect, Lambda, and Bedrock. Hands-on experience with AWS services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Rekognition, and Amazon SageMaker. Proven experience working with Amazon Bedrock for deploying machine learning models at scale. Strong knowledge of serverless architecture and AWS Lambda to process real-time events and data streams. Experience with NLP (Natural Language Processing) and speech-to-text technologies. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of data pipelines, ETL processes, and data integration techniques for AI/ML applications. Strong experience with REST APIs, AWS SDKs, and integrating third-party services into the AWS ecosystem. Understanding of Amazon Connect architecture and contact flow customization. Proficiency in Python, JavaScript, or Node.js for implementing AI/ML models and Lambda functions. Preferred Skills: AWS Certified Cloud Practitioner (Mandatory) AWS Certified Developer Associate (Mandatory) AWS Certified Machine Learning - Specialty or similar AWS certifications (Good to have) AWS Certified Solutions Architect Associate (Good to have) Experience with AWS Glue, AWS Sagemaker, and Amazon Kendra for advanced AI/ML integrations. Experience with Chatbot development and Voice AI systems using Amazon Lex and Amazon polly. Strong problem-solving skills, with the ability to troubleshoot and optimize complex systems. Excellent communication and team collaboration skills, with the ability to present complex technical information clearly.

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.