2114 Chatbot Jobs - Page 34

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: Lead Data Scientist Mode of work : Remote Responsibilities Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling. Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions. Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement. Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization. Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making. Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring. Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web). Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives. Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics. Skill Requirements Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics. Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications. Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting. Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization. Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow). Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have) Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have) Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics. Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects. Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams. Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Title: Product Manager - Enterprise Conversational AI Platform Location: Vectramind, Hyderabad, India Experience: 3-5 Years Qualification: Bachelor’s/Master’s in Engineering (Computer Science, IT, or related field) Company Overview: Vectramind is a cutting-edge technology company specializing in innovative AI-driven solutions. We are building a world-class enterprise conversational AI platform to empower businesses with seamless, intelligent, and scalable customer engagement across multiple channels. Job Summary: We are seeking a dynamic and results-oriented Product Manager to lead the development and growth of our enterprise conversational AI platform. The platform integrates multi-channel capabilities (SMS, WhatsApp, RCS, Email, etc.) and leverages advanced GenAI and Agentic AI to power intelligent chatbots. The ideal candidate will have 3-5 years of product management experience, a strong technical background, and a passion for driving customer-centric AI solutions. Key Responsibilities: Product Strategy & Roadmap: Define and execute the product vision and roadmap for the conversational AI platform, aligning with business goals and customer needs. Feature Development: Collaborate with engineering, design, and data science teams to design, develop, and launch AI-powered chatbot features with GenAI and Agentic AI capabilities. Multi-Channel Integration: Oversee the integration of multi-channel communication (SMS, WhatsApp, RCS, Email, etc.) to ensure a seamless user experience. Stakeholder Collaboration: Work closely with cross-functional teams, including sales, marketing, and customer success, to gather requirements, prioritize features, and drive adoption. Market Research & Competitive Analysis: Conduct market research to identify trends, customer pain points, and competitive offerings to inform product enhancements. Customer-Centric Approach: Partner with enterprise clients to understand their needs, translate feedback into actionable product improvements, and ensure high customer satisfaction. Performance Metrics: Define and track KPIs to measure product success, user engagement, and AI performance, using data to drive iterative improvements. Agile Product Management: Lead agile development processes, including sprint planning, backlog grooming, and release management. Qualifications & Skills: Bachelor’s/Master’s degree in Engineering (Computer Science, IT, or related field). 3-5 years of product management experience, preferably in AI, SaaS, or enterprise software. Strong understanding of conversational AI, GenAI, Agentic AI, and chatbot technologies. Experience with multi-channel communication platforms (SMS, WhatsApp, RCS, Email, etc.) is a plus. Proven ability to work with technical teams to translate complex requirements into user-friendly solutions. Excellent communication, leadership, and stakeholder management skills. Analytical mindset with experience using data to drive product decisions. Familiarity with agile methodologies and tools like Jira, Confluence, or similar. Ability to thrive in a fast-paced, startup-like environment. Preferred Qualifications: Prior experience in building or managing AI-driven products or platforms. Knowledge of enterprise customer engagement or CRM systems. Exposure to cloud platforms (Azure /AWS) and API integrations. Why Join Vectramind? Be part of a rapidly growing company at the forefront of conversational AI innovation. Work with a talented team to shape the future of enterprise customer engagement. Competitive salary, benefits, and opportunities for career growth. Vibrant and collaborative work culture in Hyderabad. How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience to careers@vectramind.com . Please include “Product Manager - Conversational AI” in the subject line.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Role: Artificial Intelligence Engineer / AI Chatbot Developer/AI FullStack Developer Location: Gachibowli, Hyderabad Duration : Full Time – 100% Onsite Time : 2.00 PM to 11.00 PM IST Experience: Min 2 Years to consider About the job Seeking a highly skilled AI FullStack Developer to design, develop, and implement enterprise-grade Conversational AI and Generative AI solutions. The ideal candidate will have hands-on development expertise in at least one of the leading AI platforms such as Kore.ai , Amazon Lex, Azure AI, IBM WatsonEx, Yellow.ai , Google Dialogflow, along with experience in business use case development, solution design, AI automation, REST API Integration, LLM Integration, Prompt Engineering, Model Tuning, AI Agents Development. Qualifications: Hands-on experience with at least one enterprise AI platforms such as Kore.ai , Amazon Lex, Azure AI, IBM Watson Assistant, Google Dialogflow, Rasa, Botpress. Experience with AI Agents, Chatbots, Virtual Assistants, and Search AI. Expertise in NLP, Large Language Models (LLMs), RAG, and Prompt Engineering for AI-powered automation. Experience in enterprise application development and AI workflow automation. Strong programming skills in JavaScript (React, Angular, Vue.js), Java, Python, or Node.js. Experience in REST API development and API integration. Client handling experience is required Key Responsibilities: Conversational & Generative AI Development: Design, develop, and deploy AI-powered chatbots, virtual assistants, AI agents, AI voice assistants, and Search AI for enterprise applications. Enterprise AI Platform Expertise: Hands-on development using one or more AI platforms ( Kore.ai , Amazon Lex, Azure AI, Google Dialogflow, IBM WatsonEx, Yellow.ai ). Solution Design & AI Architecture: Architect AI-powered solutions, integrating NLP, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering for scalable enterprise applications. Full-Stack Development: Frontend: Develop user-friendly interfaces using JavaScript frameworks (React, Angular, Vue.js, etc.). Backend: Build scalable APIs and services using Java, Python, or Node.js. API Development & Integration: Implement REST API integration and custom API development to connect AI services with enterprise applications. LLM Integration & AI Workflows: Implement AI-driven automation workflows, fine-tune LLMs, optimize AI training models, and integrate AI solutions with business processes. Search AI & Knowledge Management: Develop AI-powered search and knowledge retrieval systems for enterprise-scale automation. AI Automation & Enterprise Implementation : Deploy AI-driven automation solutions across business functions, enhancing customer experience (CX) and employee experience (EX). Testing & Optimization: Continuously test, fine-tune, and improve AI applications for performance, accuracy, and reliability in real-world enterprise environments.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity We are looking for a PM to join our team of Project management professionals, to drive strategic programs & outcomes working closely with leaders (sponsors) across different functions / geographies in designing, leading and implementing business imperatives of varying size and complexity; by collaborating with our teams across GDS locations in enabling business goals and playing different/multiple roles of PM. The opportunity is for self-driven, organized and process-oriented individuals who can perform independently and deliver exemplary services to our clients. As part of EYTS your work will span the full product lifecycle, from design through engineering, product management, deployment, and testing, to support, user experience and architecture across several areas, including application development, enhancing existing applications and onboarding of vendor applications. Your Key Responsibilities Defining project objectives, project scope, roles & responsibilities. Defining resource requirements and managing resource availability & allocation – both internal and third party. Outlining a budget based on requirements and tracking costs to deliver project on budget. Preparing a detailed project plan to schedule key project milestones, workstreams & activities. Managing delivery of the project according to this plan. Tracking project and providing regular reports on project status to project team and key stakeholders. Managing and adjusting for any changes in project scope, schedule and / or budget. Identifying and mitigating potential risks. Managing the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfaction. Measure project performance to identify areas for improvement Create and maintain comprehensive project documentation Skills And Attributes For Success To qualify for the role, you must have A Bachelor’s Degree (in any discipline) 9 to 14 years in a corporate environment, working in a Large MNC. 4 to 8 years’ experience in a relevant PM role (working across application development, deployment, implementation & infrastructure) Projects should be from technologies like .NET, Java or similar. Additionally, SharePoint, PowerBI, PowerApps, Data Analytics, Chatbot, AI and ML would be an added advantage. Must be good with MS Projects, additionally should have skills in MS Excel and Power Point. Extremely organized with strong time-management skills Excellent communication skills. Working with multi-cultural teams across geographies. Flexible to work in shifts. Ability to work independently and with others Go getter and very strong interpersonal skills. Proven ability to solve problems creatively Experience seeing projects through the full life cycle Excellent analytical skill Proven ability to complete projects according to outlined scope, budget, and timeline Excellent client-facing and internal communication skills Ideally, you’ll also have Experience with project management software tools Project Management Professional (PMP) or equivalent, will be added advantage. Process improvement experience Training or certification in design thinking would be desirable What We Look For As a PM we’re looking for someone who will manage projects & programs to be executed in a controlled and consistent manner and ensure that deliverables are fit for purpose. What Working At EY Offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity We are looking for a PM to join our team of Project management professionals, to drive strategic programs & outcomes working closely with leaders (sponsors) across different functions / geographies in designing, leading and implementing business imperatives of varying size and complexity; by collaborating with our teams across GDS locations in enabling business goals and playing different/multiple roles of PM. The opportunity is for self-driven, organized and process-oriented individuals who can perform independently and deliver exemplary services to our clients. As part of EYTS your work will span the full product lifecycle, from design through engineering, product management, deployment, and testing, to support, user experience and architecture across several areas, including application development, enhancing existing applications and onboarding of vendor applications. Your Key Responsibilities Defining project objectives, project scope, roles & responsibilities. Defining resource requirements and managing resource availability & allocation – both internal and third party. Outlining a budget based on requirements and tracking costs to deliver project on budget. Preparing a detailed project plan to schedule key project milestones, workstreams & activities. Managing delivery of the project according to this plan. Tracking project and providing regular reports on project status to project team and key stakeholders. Managing and adjusting for any changes in project scope, schedule and / or budget. Identifying and mitigating potential risks. Managing the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfaction. Measure project performance to identify areas for improvement Create and maintain comprehensive project documentation Skills And Attributes For Success To qualify for the role, you must have A Bachelor’s Degree (in any discipline) 9 to 14 years in a corporate environment, working in a Large MNC. 4 to 8 years’ experience in a relevant PM role (working across application development, deployment, implementation & infrastructure) Projects should be from technologies like .NET, Java or similar. Additionally, SharePoint, PowerBI, PowerApps, Data Analytics, Chatbot, AI and ML would be an added advantage. Must be good with MS Projects, additionally should have skills in MS Excel and Power Point. Extremely organized with strong time-management skills Excellent communication skills. Working with multi-cultural teams across geographies. Flexible to work in shifts. Ability to work independently and with others Go getter and very strong interpersonal skills. Proven ability to solve problems creatively Experience seeing projects through the full life cycle Excellent analytical skill Proven ability to complete projects according to outlined scope, budget, and timeline Excellent client-facing and internal communication skills Ideally, you’ll also have Experience with project management software tools Project Management Professional (PMP) or equivalent, will be added advantage. Process improvement experience Training or certification in design thinking would be desirable What We Look For As a PM we’re looking for someone who will manage projects & programs to be executed in a controlled and consistent manner and ensure that deliverables are fit for purpose. What Working At EY Offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity We are looking for a PM to join our team of Project management professionals, to drive strategic programs & outcomes working closely with leaders (sponsors) across different functions / geographies in designing, leading and implementing business imperatives of varying size and complexity; by collaborating with our teams across GDS locations in enabling business goals and playing different/multiple roles of PM. The opportunity is for self-driven, organized and process-oriented individuals who can perform independently and deliver exemplary services to our clients. As part of EYTS your work will span the full product lifecycle, from design through engineering, product management, deployment, and testing, to support, user experience and architecture across several areas, including application development, enhancing existing applications and onboarding of vendor applications. Your Key Responsibilities Defining project objectives, project scope, roles & responsibilities. Defining resource requirements and managing resource availability & allocation – both internal and third party. Outlining a budget based on requirements and tracking costs to deliver project on budget. Preparing a detailed project plan to schedule key project milestones, workstreams & activities. Managing delivery of the project according to this plan. Tracking project and providing regular reports on project status to project team and key stakeholders. Managing and adjusting for any changes in project scope, schedule and / or budget. Identifying and mitigating potential risks. Managing the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfaction. Measure project performance to identify areas for improvement Create and maintain comprehensive project documentation Skills And Attributes For Success To qualify for the role, you must have A Bachelor’s Degree (in any discipline) 9 to 14 years in a corporate environment, working in a Large MNC. 4 to 8 years’ experience in a relevant PM role (working across application development, deployment, implementation & infrastructure) Projects should be from technologies like .NET, Java or similar. Additionally, SharePoint, PowerBI, PowerApps, Data Analytics, Chatbot, AI and ML would be an added advantage. Must be good with MS Projects, additionally should have skills in MS Excel and Power Point. Extremely organized with strong time-management skills Excellent communication skills. Working with multi-cultural teams across geographies. Flexible to work in shifts. Ability to work independently and with others Go getter and very strong interpersonal skills. Proven ability to solve problems creatively Experience seeing projects through the full life cycle Excellent analytical skill Proven ability to complete projects according to outlined scope, budget, and timeline Excellent client-facing and internal communication skills Ideally, you’ll also have Experience with project management software tools Project Management Professional (PMP) or equivalent, will be added advantage. Process improvement experience Training or certification in design thinking would be desirable What We Look For As a PM we’re looking for someone who will manage projects & programs to be executed in a controlled and consistent manner and ensure that deliverables are fit for purpose. What Working At EY Offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

About the Role: We are looking for experienced and innovative Data Scientists with a strong foundation in Artificial Intelligence, Machine Learning, and Google Cloud Platform (GCP) . The ideal candidate will have hands-on experience with LLMs, chatbot frameworks , and full-stack web development to help us drive intelligent and scalable solutions across our products. Key Responsibilities: Design and deploy AI/ML solutions using GCP’s AI/ML services Develop LLM-based applications , optimize prompts, and evaluate outputs Build intelligent chatbots and conversational AI systems Create machine learning models using supervised, unsupervised, and reinforcement learning Use Python and libraries like TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy Build dashboards and visualizations with Matplotlib and Seaborn Develop and maintain REST APIs using Flask, Django, or FastAPI Collaborate on front-end interfaces using React or Angular with CSS Write and optimize SQL queries for data extraction and transformation Partner with cross-functional teams to deliver data-driven insights Required Skills & Tools: Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras SQL, GCP (Vertex AI, BigQuery, Cloud Functions, etc.) Chatbot frameworks, LLMs (OpenAI, PaLM, Claude, etc.) Flask / Django / FastAPI React / Angular / CSS Prompt engineering, model evaluation, data visualization Excellent problem-solving and communication skills Educational Qualification: Bachelor's or Master’s in Computer Science, Statistics, Mathematics , or a related field Why Join Us? Work on next-gen AI/ML projects with global impact Be part of a highly collaborative and innovation-driven team Leverage cutting-edge tools and large language models in real-world applications Competitive compensation and flexible work environment Ready to Apply? If you’re passionate about AI and want to work at the cutting edge of LLMs, cloud, and intelligent automation— apply now or reach out directly via LinkedIn message.

Key Requirements Minimum 6+ years of experience in software development, with a strong foundation in Java and Spring Boot. Minimum 3+ years of hands-on experience in Generative AI prompt engineering for chatbot applications. Minimum 3+ years of practical experience working with Kore.AI or similar enterprise-grade chatbot development platforms. Proven experience in integrating AI-powered chatbots with IVR (Interactive Voice Response) systems. Strong understanding of chatbot design principles, conversational flow creation, and user experience optimization. Demonstrated ability to build and optimize intelligent chat and voice solutions using Generative AI to automate and enhance customer interactions within an IVR : Design, develop, and implement Generative AI-powered solutions to handle IVR inquiries effectively. Create and refine AI prompts to ensure accurate, relevant, and engaging chatbot responses within the IVR system. Integrate Generative AI capabilities with our existing IVR infrastructure. Utilize Kore.AI or a similar platform to build, deploy, and manage intelligent conversational flows. Collaborate with stakeholders to understand IVR requirements and translate them into effective AI-driven solutions. Optimize chatbot performance and accuracy through prompt engineering and iterative refinement. Troubleshoot and resolve any issues related to the GenAI-powered IVR system. Stay up-to-date with the latest advancements in Generative AI and chatbot Requirements & Qualifications : Bachelor's degree in Computer Science, Engineering, or a related field. Strong background in Java and Spring Boot development. Significant hands-on experience with Generative AI prompt engineering for chatbots. Extensive experience working with Kore.AI or similar chatbot platforms. Proven experience in integrating AI with IVR systems. Deep understanding of chatbot design principles and conversational UX. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Must be available for video call interviews as part of the submittal process. Must be able to work effectively in a 100% remote environment (ref:hirist.tech)

Job Title : Data : Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field Experience : 6 To 10 Year(s) Skill set : Artificial Intelligence / Machine Learning Domain Knowledge Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services Proven experience in chatbot creation and development using relevant frameworks Proven experience in developing and implementing machine learning models. Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn. Proficiency in SQL querying and database management. Experience with front-end frameworks such as React or Angular and CSS. Experience with back-end frameworks such as Django, Flask, or FastAPI. Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. Job Description Deploy and manage AI/ML applications on the Google Cloud Platform (GCP) Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms. Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions. Create visualizations using Matplotlib and Seaborn to communicate insights Write and optimize SQL queries to extract and manipulate data from various databases. Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI. Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports. (ref:hirist.tech)

Sr. Conversational AI Engineer – AWS Lex Location: Remote – India (Preference from Bangalore, Coimbatore, or Chennai) Type: Contract (6 months, with potential extension) Level: L5–L6 (Senior Engineer or Principal Engineer equivalent) About the Role We are actively seeking hands-on builders with deep expertise in Amazon Lex and AWS Lambda to lead the migration and re-architecture of enterprise conversational bots from Microsoft Azure to a modern, scalable AWS-native stack. This is a greenfield opportunity to reimagine chatbot architecture for global enterprise use, supporting high-volume, high-reliability workflows. You’ll join a cross-functional engineering team building secure, responsive, and intelligent conversational interfaces that deeply integrate with enterprise systems. This is a delivery-focused role for engineers who thrive in cloud-native environments and want to build and own impactful AI-powered experiences at scale. Key Responsibilities • Lead end-to-end replatforming of Azure Bot Services into Amazon Lex (v2), emphasizing performance, scale, and enterprise readiness • Architect and implement reusable conversational modules: intents, slots, fulfillment, error handling, and session management • Develop Lambda-based fulfillment workflows integrated with REST APIs, event buses (EventBridge), and Step Functions • Collaborate with conversation designers and UX teams to craft natural and context-aware dialogues • Implement DevOps pipelines using AWS CodePipeline, GitHub Actions, or similar CI/CD tools • Establish and maintain observability and monitoring for bot health, latency, and NLP performance • Drive best practices around testing, deployment, and bot lifecycle management • Ensure scalability, security, and compliance (e.g., SSO integration, audit logging, data masking) Minimum Qualifications • 5+ years of software development experience with at least 2+ years focused on Conversational AI • Proven delivery of production-grade bots on Amazon Lex v2 • Strong AWS serverless background: Lambda, API Gateway, DynamoDB, Step Functions, EventBridge • Demonstrated experience migrating from Microsoft Bot Framework or Azure Bot Services • Proficient in Python or Node.js for Lambda development • Experience designing enterprise-grade conversational flows • Familiarity with Infrastructure-as-Code (CDK, Terraform, or CloudFormation) • Strong understanding of NLP concepts, error handling, fallback design, and session state logic • Experience working in agile delivery environments with design, QA, and platform engineers Preferred Qualifications • Experience with AWS AI/ML services like Comprehend, Transcribe, or Polly • Understanding of data governance and compliance standards (GDPR, HIPAA) • Background in deploying bots into regulated industries (finance, insurance, healthcare) • Exposure to chatbot analytics tools and NLU performance tuning • Familiarity with conversational analytics platforms (e.g., Amazon Lex analytics, Dashbot, Voiceflow)

Job Profile : Senior Product Manager- CC/ CX Team Location: Bangalore | Karnataka Years of Experience: 6 - 10 yrs About The Team And The Role If you are excited about leveraging AI to transform the way millions order food, groceries and utilities in India, we would like to have you join our team as a Senior Product Manager. This person will be responsible for leading one or more products & platforms in AI in respective businesses Senior Product Managers at Swiggy work with various internal product teams, UX researchers/designers, data scientists, analytics, marketing and business to build a strategy and roadmap for their respective charter helping our power users find value and convenience in the most efficient manner leading to continued customer delight and seamless experiences What will you get to do here? Build & own long-term vision, product roadmaps, competitive analysis, market & domain research, GTM to deliver significant business impact and customer delight for several consumer facing products of Instamart. Leverage and champion AI for respective businesses by collaborating with Engineers, Data scientists & Analysts to help build the next-gen consumer platform that unlocks long term value for our consumers. Collaborate with other product teams across the org to ideate and find win-win-win solutions on common objectives across Growth, Unit economics and Customer experience Build core product & UX offerings that offer hassle free and delightful buying experience to consumers Mentor and nurture team members at all levels to design and build differentiated experience to foster a culture of innovation & learning with high emphasis on sustainable rituals. Determine the targets / success metrics for the org based on the organizational strategy and be the custodian for these metrics. What are we looking for ? Minimum 6 years of work experience in Product Management with extensive experience in B2C Apps and consumer side product management. Experience in building customer support products, like chatbot, service experience, agent tools Evidence of building using GenAI in their domain Proven track record of building and shipping high-quality data products in the areas of customer engagement / retention / conversion in large scale products that impact millions of users. Strong background in building products and applications using LLM's/Gen AI/Agentic AI/RAG You are consumer obsessed, but you can walk a tightrope balancing consumer delight with potentially orthogonal org goals Well versed with running experiments & is considered an expert in analyzing data, showcasing a deep understanding of the 360 degree interaction effects and potential long term impacts, has the ability to cull out the unknowns and hedge against them. Excellent problem solving, critical thinking, and communication skills. Highly customer-obsessed thinking with a deep understanding of customer needs and aspirations Ability to work under pressure and deliver tangible business impact in time-critical situations We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About The Team About AWS: Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & 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. 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 nothing we can’t achieve in the cloud. Basic Qualifications Bachelor’s degree required 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc. Hands-on technical practitioner and individual contributor Hands-on experience working on the design, development and deployment of contact center solutions at scale Preferred Qualifications 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms Familiarity with Amazon Connect capabilities, benefits, and required deployment skills. Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure. Experience implementing and optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS ProServe IN - Karnataka - H53 Job ID: A3024907

Enterprise Bot is a dynamic scale-up founded in 2017. We support major companies such as SIX Group (Swiss Stock Exchange), SWICA, Generali, and others in enhancing customer interactions and automating processes using our Conversational AI technology. Our global team comprises over 60 highly skilled professionals from diverse backgrounds. Our company culture is open and progressive, with state-of-the-art technical solutions and flat hierarchies. Working at Enterprise Bot means experiencing a refreshing mix of passion, purpose, challenges, and fun. Tasks Establish and integrate industry best practices for project management and related processes within the company. Create and maintain comprehensive project documentation, including project plans and technical content. Assist in defining project scope and objectives, involving relevant stakeholders, and ensuring technical feasibility. Develop a detailed project plan, monitor progress, measure performance, and ensure resource allocation. Coordinate internal resources and third-party vendors for flawless project execution. Ensure on-time, within scope, and within budget project delivery. Manage client and stakeholder relationships, including third-party vendors. Conduct risk management to minimize project risks. Develop spreadsheets, diagrams, and process maps to document project needs. Requirements Demonstrated 1-3 years of project management experience in B2B startups or SMEs. Willingness to work in an early-stage startup environment and actively contribute to establishing project management processes. Proficiency in project management tools like JIRA and Microsoft Office. Strong sense of ownership and a commitment to meeting tight deadlines. Exceptional client-facing and internal communication skills. Outstanding written and verbal communication abilities. Effective organizational skills, including attention to detail and multitasking. Experience as a technical project manager for software is a significant advantage. Bachelor's/Master's degree in a relevant field of study or equivalent work experience. Experience in the generative AI or chatbot industry is a huge plus. Benefits A culture comprised of diverse, global teams who have a passion for collaboration and client service. A competitive salary and scope for further advancement. State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun.

Machine Learning, NLP, Deep Learning, GenAI LLMs, Prompt Engineering, RAG, Chatbots, GPT Python (Pandas, NumPy, Scikit-learn, XGBoost) Agentic AI, DDD, TDD, Hexagonal Architecture Terraform, Docker, REST/gRPC APIs, Git, Cloud (AWS/GCP/Azure)

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure you’re set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Engage with senior leadership focused on Transformation roadmap creation, solution levers identification and business case creation. Drive hyper-automation agenda with clients while ensuring their business outcome needs are met. Undertake process due-diligence and work as a trusted advisory to internal and external stakeholder on building an ecosystem of automation. Authoring the RFP responses for client needs wherever required and supporting the detailed solution run-through during the sales cycle. Creation of a commercial construct for process transformation proposals and commercial negotiations with the customers leading up-to contract closure Develop a strong pipeline of proposals through delivering business outcomes. Qualifications 8-10 years of work experience across transformation consulting, solutions, and presales Large to mid-size transformation deal exposure to formulate solution & business case Experience in leading consulting engagements and CXO/ CXO -1 customer conversations Pre Sales and Solution building leveraging RPA, Cognitive, AI/ML, Chatbot, Blockchain and other new age technologies Hands on process understanding of one of the domains (Insurance/ Travel/ Shipping/ Healthcare/ Banking) and knowhow of related functions. Agile/ Six Sigma trained and certified along with an MBA from a top tier institute would be preferred.