1875 Chatbot Jobs - Page 24

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Description: GenAI Data Scientist - Senior Associate (PwC US AC) PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Job Title: Founding Full-stack Developer About Oculon AI At Oculon AI, we're revolutionizing organizational planning with our next-gen data modeling and business intelligence web application. Our mission is to centralize and simplify planning processes that are currently scattered across outdated tools. Our Engineering team is at the forefront of this transformation, leveraging cutting-edge technologies in Data Analytics and AI to build a robust system. Our platform efficiently processes large multi-dimensional data, predicts metrics, and scenarios using state-of-the-art forecasting ML models, and delivers automated insights through a clean and intuitive UI. We are building advanced AI Agents to enhance user experience and productivity across planning applications. These AI Agents answer questions, automate model and dashboard building, suggest actions, and execute scheduled tasks, providing a seamless, intelligent planning experience. Oculon AI is redefining the world of Financial Planning & Analysis (FP&A) in an established software category with a multi-billion-dollar TAM but no clear winner. We’re here to change that. Join us at Oculon AI and be part of a team that's setting new standards in creating the go-to platform for business planning. Job Description We are seeking an experienced, visionary, and hands-on Senior Fullstack Developer to be a cornerstone of our engineering team. In this pivotal role, you will take ownership of significant parts of our platform, architecting and developing solutions across the entire stack – from intuitive user interfaces dealing with large datasets to robust backend systems and innovative AI integrations. You will collaborate closely with the founding team, product, and design to shape our technology roadmap, implement high-performance, scalable solutions, and drive best practices. Your extensive experience will be crucial in making critical technical decisions and defining the user and developer experience of our product. If you are passionate about building transformative products from the ground up and leveraging cutting-edge technology, this is the role for you. Compensation : For now, there will be Rs. 1,00,000 payout per month for the first 3 months and it will be a full-time role. After that, we will raise the compensation to market value. You will be eligible for a much higher equity payout for your contribution as a founding employee at Oculon. Location : Remote Employment Type : Full-Time Application Link : https://tally.so/r/3j79r4 Responsibilities Architect and Develop: Lead the architecture, development, and maintenance of components of our full-stack web application, including complex frontend components for data modeling (interactive spreadsheets/data-grids, dashboards), sophisticated AI-powered features (chatbot UIs, automated insights), and scalable backend services. Full-Stack Implementation: Design, build, and maintain efficient, reusable, and reliable code across frontend (React.js), backend (Python), and database layers. AI Integration: Collaborate on the design and integration of Generative AI and LLM-powered features, ensuring seamless interaction between AI models and the user-facing application. Data Systems Design: Contribute to the design and optimization of backend systems for handling large multi-dimensional and time-series data, ensuring efficient querying and data processing. Mentor and Guide: Provide technical leadership and mentorship to future team members, fostering a culture of code quality, innovation, and continuous improvement. Optimize Performance: Drive performance optimization initiatives across the stack, ensuring the application meets high standards of speed, responsiveness, scalability, and data handling capacity. Technical Strategy: Play a key role in defining the overall technical strategy of the product, making critical decisions on technologies, frameworks, and architectural patterns for both frontend and backend systems. Cross-functional Collaboration: Work closely with product managers, designers, and other engineers (as the team grows) to define, design, and ship new features and improvements. Code Reviews and Quality Assurance: Champion and implement coding standards, lead code reviews, and ensure high-quality, maintainable code across the entire codebase. Stay Ahead of Trends: Continuously evaluate and propose new technologies, tools, and methodologies to keep our tech stack current, efficient, and cutting-edge. Required Skills and Qualifications Experience: Minimum 4+ years of professional experience in full-stack development, with a proven track record of architecting and delivering complex, scalable web applications. Frontend Expertise: Advanced proficiency in React.js (including hooks, Context API, performance optimization) and a deep understanding of HTML5, CSS3, and modern JavaScript (ES6+). Backend Proficiency: Strong experience with backend development using Python, including API design (RESTful, GraphQL). Database Knowledge: Solid understanding of database technologies (SQL and/or NoSQL) and experience designing database schemas and writing efficient queries. Architectural Skills: Proven ability to design and implement scalable and maintainable full-stack architectures for data-intensive applications. State Management: Expert-level knowledge of frontend state management solutions (e.g., Redux, Zustand, Recoil) for complex applications. Testing and Quality Assurance: Strong background in full-stack testing methodologies, including unit, integration, and end-to-end testing (e.g., Jest, React Testing Library, Cypress, PyTest). Build and Deployment: Expertise in modern build tools (Webpack, Vite) and CI/CD pipelines. Version Control: Advanced Git skills, including branching strategies and workflow management. Preferred Skills and Qualifications (In decreasing order of preference): a. Advanced Frontend Architecture for Large Data & WebSockets: Demonstrable experience in frontend architecture design, with a strong focus on performance optimizations for handling, rendering, and interacting with very large datasets in the browser. Significant experience designing and consuming WebSocket APIs for real-time, bi-directional communication and data streaming. b. Data Grid & Charting Libraries: Extensive hands-on experience with advanced data grid libraries like AG Grid, including customization, performance tuning for large datasets, and integrating complex features. Proficiency with charting and data visualization libraries such as Recharts, D3.js, or similar, for creating interactive and insightful dashboards. c. AI Engineering & GenAI/LLM Expertise: Proven experience as an AI Engineer or in a similar role involving practical application of Generative AI and Large Language Models (LLMs). Deep understanding and hands-on experience with LLM engineering techniques, including Prompt Engineering, Tool Calling/Function Calling, ensuring Structured Outputs, Retrieval Augmented Generation (RAGs), Multi-Candidate Prompts (MCPs), and familiarity with fine-tuning concepts. d. Backend/Data Engineering for Complex Data Systems: Hands-on experience as a Backend or Data Engineer designing, building, and optimizing systems for querying, processing, and modeling large-scale multi-dimensional and time-series data. Strong familiarity with data warehousing concepts (e.g., Star schemas, Snowflake schemas), column-store databases (e.g., ClickHouse, Druid, or cloud equivalents), and calculation engines (e.g., spreadsheet formula engines, OLAP cube concepts). Additional Valued Skills: Knowledge of WebGL or Canvas for high-performance rendering of large datasets. Experience with micro-frontend or micro-service architectures. Familiarity with server-side rendering (SSR) or static site generation (SSG) techniques (e.g., Next.js). In-depth knowledge of web performance optimization techniques and metrics (Core Web Vitals). Benefits: Flexible Hours: Flexible working hours and remote work options. Growth Opportunities: Unparalleled opportunities for professional growth, skill development, and career advancement as a foundational member of the team. Innovative Environment: A collaborative, stimulating, and innovative work environment where your ideas directly shape the product. Why Join Us? Foundational Impact: As a founding developer, you will have a monumental impact on the technological direction, culture, and ultimate success of Oculon AI. Your contributions will be visible and critical. Greenfield Opportunity: Build from the ground up with modern technologies, without the constraints of legacy code. Solve Hard Problems: Tackle challenging and intellectually stimulating problems in data visualization, AI, and large-scale data management that have a real-world impact. Innovation at Speed: Work on exciting projects that push the boundaries and explore what’s possible using the latest web development, data, and AI tools in a fast-paced environment. Culture of Excellence: Be part of a highly collaborative, inclusive, and high-performing team that values deep technical expertise, innovation, and user-centricity. If you are a highly motivated, innovative, results-oriented, and versatile full-stack developer looking for a unique opportunity to build a category-defining product from its earliest days, we want to hear from you! Application Link : https://tally.so/r/3j79r4 Apply now at the above link to join our team and be part of our exciting journey!

We are looking for a talented Python AI/ML Developer with a strong foundation in machine learning, natural language processing, and data science. If you have a passion for building smart, conversational AI systems and want to work on cutting-edge technology, we’d love to hire you! Benefits 5 Days a Week Health Insurance Flexible Timings Open Work Culture Workshops & Webinars Awards & Recognition Festive Celebrations Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience : 3-5 years specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Industry Expertise: Experience in finance, manufacturing, healthcare, or retail sectors. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Location: Ahmedabad Reporting to: Project Manager

JOB DESCRIPTION Job Title: AI Specialist – Digital Marketing Prospect Location: [Insert Location or Remote] Job Type: Full-time / Contract / Freelance Department: Digital Marketing / AI & Analytics Reports To: Head of Digital Marketing / Chief Marketing Officer Job Overview: We are looking for a forward-thinking AI Specialist – Digital Marketing Prospect to design and implement AI-powered solutions that drive marketing efficiency, improve customer engagement, and optimize campaign outcomes. This role blends data science, machine learning, and digital marketing to transform how we reach, convert, and retain customers. Key Responsibilities: · Build and deploy AI models to enhance digital marketing strategies (e.g., customer targeting, personalization, budget optimization). · Implement intelligent lead scoring systems to improve conversion rates. · Analyze online user behavior across channels (web, email, social, paid ads) using AI techniques. · Apply Natural Language Processing (NLP) for sentiment analysis, content recommendations, and chatbot integration. · Automate campaign performance tracking and generate predictive insights using AI tools. · Integrate AI with marketing platforms like Google Ads, Meta Ads, HubSpot, Salesforce, and Mailchimp. · Collaborate with marketing and content teams to personalize messaging using AI-powered tools. · Conduct A/B testing, model evaluation, and continuous optimization of AI solutions. · Stay current with emerging trends in AI, MarTech, and digital marketing analytics. Required Qualifications: Education & Experience: · Bachelor’s or Master’s degree in Data Science, Computer Science, Marketing Technology, or a related field. · 3+ years of experience in AI/ML, specifically applied to digital marketing. Technical Skills: · Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). · Experience with AI-driven marketing tools (e.g., Adobe Sensei, Salesforce Einstein, ChatGPT, Jasper). · Strong knowledge of digital marketing channels and tools (SEO, SEM, email, social, programmatic). · Familiarity with Google Analytics, Google Tag Manager, and marketing automation platforms. Soft Skills: · Strong problem-solving and analytical thinking. · Effective communication with both technical and non-technical stakeholders. Interested candidates can share resume Via Whatsapp :- 9953806180

Process: Non-Voice – Australia Web Chat Support Process Shift: Rotational shifts including Saturdays and Sundays Week Offs: 2 rotational week offs Job Description: We are looking for freshers to join our team as Web Chat Executives for an Web chat support process catering to Australian clients. This is a non-voice role that requires strong written communication and proficiency in handling digital tools like Word and Excel. Key Responsibilities: Monitor and manage customer interactions via a chatbot interface Answer to client queries and provide accurate, timely responses Maintain documentation and update logs using MS Word and Excel Adhere to quality and turnaround time standards Requirements: Excellent written and oral communication skills in English Strong working knowledge of MS Word and Excel Proactive, attentive, and a quick learner Willingness to work in rotational shifts, including weekends Must be based in Chennai and available for immediate joining Eligibility: Freshers only; Male candidates are preferred due to rotational shifts Immediate joiners preferred - Need to join by 7th July 2025 Job Type: Full-time Benefits: Provident Fund Schedule: Rotational shift Weekend availability Work Location: In person Speak with the employer +91 9940913046

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. Job Location

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.

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.