1150 Chatbot Jobs - Page 43

Experienced and innovative Chatbot Senior Developer specialized in creating intelligent, interactive chatbot solutions with extensive knowledge of systems integration. Develop scalable chatbots that integrate seamlessly with various databases, APIs, observability systems, and enterprise applications. Additionally, this role requires expertise in designing and implementing AI/ML models for natural language understanding, predictive analytics, and contextual response generation. Key Responsibilities: • Design and build conversational chatbot experiences that are intuitive, user-friendly, and capable of handling multi-turn conversations with contextual understanding. • Integrate Natural Language Processing (NLP) for accurate interpretation of user inputs and build AI/ML models for intent recognition, sentiment analysis, and predictive recommendations. • Create dynamic, responsive interaction flows with continuous improvements in chatbot accuracy and relevance through feedback loops and user interaction data analysis. • Connect the chatbot with enterprise systems (e.g., databases, observability tools, cloud services) to retrieve real-time data for health monitoring, cost analysis, and incident tracking. • Maintain secure, scalable, and reliable connections between the chatbot and external systems to enable real-time actions and insights. Skillset: • Proficiency in frameworks like Microsoft Bot Framework, Google Dialogflow, or similar platforms. • Strong knowledge of NLP techniques, libraries, and tools for building context-aware, conversational AI systems. • Expertise in Python, JavaScript (Node.js), or Go, with experience in building backend services and integrations. • Hands-on experience with RESTful APIs, and understanding of API security best practices. • Experience with integrating chatbots with observability tools (e.g., Prometheus, Grafana), databases, and cloud services to retrieve and act on real-time data. • Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for developing custom models for intent recognition, recommendation engines, and predictive analytics. • Familiarity with deploying and scaling chatbot solutions on cloud platforms (e.g., AWS, Azure, GCP) and managing ML models in cloud environments.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Stay updated with the latest AI/ML technologies and trends. Collaborate with cross-functional teams to implement AI solutions. Develop and deploy machine learning models. Optimize AI algorithms for performance and scalability. Conduct research to enhance AI capabilities. Professional & Technical Skills: Must To Have Skills: Proficiency in Prompt Engineering. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Prompt Engineering. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

About this role: Wells Fargo is seeking a Lead Software Engineer In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or masters degree in computer science, artificial intelligence or a related field Strong expertise in Java, Python, OpenShift containers, and other relevant technologies Strong understanding of AI and ML concepts , including deep learning, natural language processing and computer vision Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues Strong collaboration and communication skills come with the ability to work effectively with cross functional teams Job Expectations: Location: Open for both Bangalore and Hyderabad Knowledge of Chatbots, Gemini, Copilot or Open AI, SWE-Bench is preferred Design, develop, and deploy AI applications using LM's, agent framework, and other related technologies Collaborate with enterprise teams to integrate LLM models with the existing products and systems Work with the copilot, dark intelligence, and other a power tools to develop innovative solutions Experience with other programming languages, such as C++ Experience with the agile development methodologies and version control systems such as GIT Certification in AI, machine learning or a related field

Role :Senior AI/ML Engineer. Experience :4+ yrs. Work Mode :Remote. Joining Timeframe :Immediate to 15 days. Role :Senior AI/ML Engineer. Key Responsibilities. Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications. Leverage AWS Bedrock and other AWS services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Implement responsible AI practices, incorporating guardrails and moderation mechanisms. Collaborate with cross-functional teams to translate AI insights into impactful solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications. 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Expertise in AWS services, particularly AWS Bedrock and Lambda functions. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. Deep understanding of LangChain components and advanced NLP techniques. Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. Familiarity with best practices in system design, including security, performance optimization, and scalability. Proven ability to write high-quality production code and work in collaborative environments. (ref:hirist.tech). Show more Show less

Hi, Urgent opening for Cognitive Engineer with EY GDS at Pan India Location. Please apply through the below link : https://careers.ey.com/job-invite/1579644/ Mandatory Skills: C# / .Net + React/Angular+ Bot Framework/Cognitive services/Cognitive developer+ Chatbot Requirements: Requires 3-6 years of relevant experience. Demonstrated experience as a Cognitive Developer or Chatbot/Bot Framework. Profound expertise in .NET Core development utilizing C#. Proficiency in JavaScript frameworks such as Angular and/or React. Familiarity with Azure Cloud services, particularly Azure Cognitive Services and Azure Bot Service, as well as Azure Functions, Logic Apps, and Service Bus etc. Knowledge of large language models is desirable. Experience in designing and developing web-based applications and APIs. Understanding of RESTful and SOAP APIs. Familiarity with version control systems (e.g. DevOps, Git). Strong analytical and problem-solving capabilities. Exceptional communication and collaborative skills. A professional background comprising 3-6 years of relevant experience. Preferred Qualifications: Masters or bachelors degree in computer science, engineering, or a related field. Experience in managing large datasets and integrating various data sources. Acquaintance with DevOps methodologies and continuous integration/continuous deployment (CI/CD) pipelines.

Job Title: AI Intern Location: Hyderabad Duration: 2 Months Stipend: 10,000/- About the Internship: Our internship program is more than just a chance to gain experienceits an opportunity to grow, learn, and make a real impact. Apply your resume and join us! Requirements: B.Tech (CSE / AI & ML) Minimum 60% academic score Year of passing: 2024 & 2025 Skills Required: Basic Machine Learning (ML) knowledge Familiarity with Artificial Intelligence (AI) concepts Familiarity with Chatbot and Generative AI Concepts Proficiency in Python Experience in building AI solutions Extensive Data Analysis in any domain Candidates with prior AI/ML internship experience are highly preferred Perks & Opportunities: Hands-on experience in AI/ML projects Opportunity to transition into a full-time role based on performance

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Azure Machine Learning Good to have skills : Microsoft Azure Architecture Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its practical applications. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Develop applications and systems utilizing AI tools and Cloud AI services. Create a proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution. Utilize deep learning, neural networks, chatbots, and image processing in the development process. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Azure Machine Learning. Good To Have Skills:Experience with Microsoft Azure Architecture. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Microsoft Azure Machine Learning. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role :AI / ML Engineer Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Machine Learning Operations Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services. Implement and optimize machine learning algorithms and models. Ensure the quality and performance of AI applications through testing and debugging. Stay up-to-date with the latest advancements in AI/ML technologies and tools. Contribute to the documentation and knowledge sharing within the team. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning Operations. Experience with cloud-based AI tools and services. Strong understanding of deep learning, neural networks, and image processing. Hands-on experience with chatbot development. Solid knowledge of data preprocessing and feature engineering techniques. Good To Have Skills:Experience with natural language processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks. Experience with containerization and orchestration tools like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Looking for Immediate joiner with experience in WhatsApp Business API and RCS in backend development, API integrations, and cloud-based architectures. Expertise in Kafka is must. JD: https://www.pinnacle.in/career/java-developer

Develop, deploy AI chatbots & agents using LLMs(GPT,Claude) Implement AI automation Fine-tune LLMs,NLP models Design AI workflows, prompt engineering Optimize AI models for scalability & efficiency Using RAG & vector database Deploy AI Apps to cloud

Job description A global travel company is seeking an candidate of our Artificial Intelligence Strategy to contribute to the development of integrating Artificial Intelligence tools into our workflows. . As an AI Engineer, you will be responsible for designing, implementing, and maintaining Artificial Intelligence tools to assist customer on the website find the information related to travel experiences, both within our own company website and from third party sources Responsibilities Design and implement Artificial Intelligence procedures such as Chabot solutions using industry-leading technologies and frameworks. Collaborate with stakeholders to understand requirements and translate them into functional AI features. Implement Natural Language Processing (NLP) techniques to enable accurate understanding and generation of human-like responses. Integrate AI workflows within external systems, APIs, and databases to fetch and deliver data as required. Design and implement dialog management systems to handle user interactions and maintain context. Optimize AI performance and usability by refining conversational flows and user interfaces. Conduct thorough testing and debugging to identify and resolve issues, ensuring the AI functions reliably and efficiently. Stay up to date with the latest advancements in NLP, AI, technologies to incorporate innovative solutions. Collaborate with cross-functional teams, including designers, product managers, and data scientists, to deliver high-quality AI solutions. Provide technical guidance and support to junior developers as needed. Document technical specifications, processes, and best practices to ensure knowledge sharing and maintainable code. Requirements Proven experience as a Chatbot Developer or similar role, with a strong portfolio of AI projects. Proficiency in programming languages such as Python. Experience in any RDBMS and NoSQL databases In-depth knowledge of NLP techniques, libraries, and frameworks, such as NLTK, spaCy, or BERT. Familiarity with AI frameworks and platforms, such as Dialog flow, Rasa, or Microsoft Bot Framework. Experience in integrating AI such as Co-pilot and ChatGPT APIs. Strong problem-solving and analytical skills to design and implement effective AI solutions. Excellent understanding of software development principles, including version control, testing, and debugging. Knowledge of UX design principles and conversational UI design. Strong communication skills and ability to collaborate effectively with team members and stakeholders.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Develop, implement, and optimize GenAI models for various applications, including chatbots and customersupport. Design and develop backend services using Python or .NET to support OpenAI-powered solutions. Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services to extend functionality and improve AI solutions. Regularly review and fine-tune OpenAI models to ensure maximum accuracy and relevance for custom datasets. Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Stay updated with the latest advancements in OpenAI and Azure services to bring innovation to our solutions. Your Profile Bachelor's degree in Computer Science, Engineering, or a related field. Proficient in Python or .NET for backend development. Experience with OpenAI GPT models and their applications. Familiarity with Azure cognitive services. Strong understanding of machine learning concepts, including model training, fine-tuning, and evaluation. Good knowledge of Natural Language Processing (NLP) techniques. Ability to work in a team-oriented environment and deliver on tight deadlines. Excellent problem-solving and analytical skills. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Role & responsibilities Design, develop, and deploy AI models to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop AI powered solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Keep abreast of the latest advancements in AI, Machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Preferred candidate profile Ph.D, Masters or Bachelors degree in computer science, AI, Mathematics, or a related field. 4+ years of professional experience in AI, machine learning, or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Proficiency in programming languages such as Python, R, or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience in REST API development Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Perks and benefits Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership - You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you!

Role & responsibilities Design, develop, and deploy conversational AI systems, including chatbots and voice assistants. Work with natural language processing (NLP) and natural language understanding (NLU) techniques to enable machines to interpret, understand, and respond to human language. Implement and improve conversational models that handle multiple turns, context, and varying user intents across various channels (e.g., websites, mobile apps, and voice interfaces). Collaborate with product managers, UX designers, and other engineers to define user requirements and deliver conversational AI solutions that meet business needs. Optimize dialogue flow, enhance language generation, and fine-tune models to improve the naturalness and effectiveness of responses. Integrate conversational AI systems with external APIs, databases, and third-party tools to enrich user interactions. Continuously test, monitor, and improve the performance of conversational systems using real-world data and user feedback. Stay up to date with the latest trends and advancements in NLP, conversational AI, and machine learning technologies. Troubleshoot and resolve any technical issues related to conversational AI systems. Preferred candidate profile Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in building conversational AI systems such as chatbots and voice assistants. Strong proficiency in natural language processing (NLP) and natural language understanding (NLU) techniques. Experience working with conversational AI frameworks and platforms. Familiarity with machine learning models and techniques, including deep learning and reinforcement learning. Familiarity with sentiment analysis, intent detection, and entity recognition. Proficiency in programming languages such as Python, Java, or JavaScript. Experience in integrating conversational systems with APIs, CRMs, and other third-party services. Familiarity with AWS for deploying AI systems at scale. Strong problem-solving abilities and ability to optimize models for performance and efficiency. Excellent communication skills and ability to work collaboratively in a team environment. Perks and benefits Permanent Work from home, PF,gratuity, Health and accidental insurance.

Role & responsibilities We are looking for an experienced GenAI Developer to join our team and drive innovation in AI-driven applications. The ideal candidate will work with large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), vector databases, and API development to build intelligent and scalable AI-powered solutions. Develop, fine-tune, and deploy LLM-based applications to enhance AI-driven capabilities. Implement Agentic AI workflows for autonomous decision-making and task execution. Design and optimize RAG pipelines to improve contextual retrieval and knowledge grounding. Work with vector databases (e.g., FAISS, Pinecone, Weaviate, pgvector) for efficient data retrieval and embedding storage. Build and integrate RESTful APIs using FastAPI or similar frameworks to enable seamless AI interactions. Optimize AI models for latency, efficiency, and cost-effectiveness in production environments. Integrate multimodal AI capabilities to process and generate content from various media formats. Embed real-time monitoring and analytics to generate insights and proactive recommendations. Ensure security, privacy, and ethical AI practices in all deployments. Preferred candidate profile Experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). Hands-on experience in Agentic AI frameworks (LangChain, AutoGPT, CrewAI, Agno (Phidata), etc.). Proficiency in RAG techniques for enhanced AI responses. Expertise in vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, or pgvector. Strong Python programming skills with experience in FastAPI. Knowledge of embedding models (e.g., OpenAI embeddings, Hugging Face, BGE, etc.). Strong understanding of RESTful API integration and development. Perks and benefits

Title: AI Engineer Company Name: Rhysley Private Limited Company Website: www.rhysley.com, www.mehar.com, www.servercenter.ca Location: Plot No - 700AA, SRS Tower, Sector 31, Faridabad 121003 Working Days: 5 Days Job Summary: We are seeking a highly skilled and motivated AI Engineer to join our innovative team. The ideal candidate will design, develop, and implement state-of-the-art artificial intelligence and machine learning solutions. You will collaborate with cross-functional teams to address real-world problems and drive AI projects from concept to production. Key Responsibilities: Design, develop, and optimize machine learning and AI models for specific use cases. Implement and maintain AI pipelines for data preprocessing, training, and deployment. Research and apply state-of-the-art algorithms and techniques in AI, including deep learning, natural language processing (NLP), and computer vision. Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products. Analyze large datasets to identify patterns and insights for predictive modeling. Ensure AI solutions are scalable, efficient, and reliable in production environments. Continuously monitor and improve deployed models to enhance accuracy and performance. Stay updated with the latest advancements in AI and ML technologies. Required Skills and Qualifications: Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field. Proven experience in building and deploying AI/ML models (minimum 7 to 15 years Proficiency in programming languages such as Python, R, or Java. Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Hands-on experience with deep learning models and architectures (CNNs, RNNs, transformers, etc.). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization tools (Docker, Kubernetes). Strong understanding of data structures, algorithms, and optimization techniques. Excellent analytical and problem-solving skills. Knowledge of version control systems (Git) and Agile methodologies. Preferred Qualifications: Experience with natural language processing (NLP) and computer vision techniques. Understanding of MLOps practices for CI/CD in machine learning pipelines. Familiarity with big data processing tools (Spark, Hadoop) and databases (SQL, NoSQL). Certification in AI/ML or related fields.

About The Role : Design, build, and deploy conversational AI applications using Google Cloud CCAI and DialogFlow. Develop chatbots, virtual assistants, and automated voice response systems to improve customer interactions across multiple channels (web, mobile, IVR, etc.). Work with stakeholders to understand business requirements and translate them into AI-driven solutions. Train and fine-tune natural language processing (NLP) models to ensure high accuracy and improved customer interactions. Integrate AI chatbots and voice bots with backend systems, CRM tools, and other business applications. Collaborate with product, engineering, and UX teams to design intuitive and effective conversational experiences. Continuously monitor and evaluate the performance of conversational AI systems, gathering insights to optimize and refine AI models. Stay up-to-date with the latest advancements in conversational AI, NLP, and cloud technologies to drive innovation in the development of AI applications. Provide technical guidance and support to teams implementing and scaling CCAI and DialogFlow solutions. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role :- Grade Specific Design, build, and deploy conversational AI applications using Google Cloud CCAI and DialogFlow. Develop chatbots, virtual assistants, and automated voice response systems to improve customer interactions across multiple channels (web, mobile, IVR, etc.). Work with stakeholders to understand business requirements and translate them into AI-driven solutions.

Job Title: AI/ML Engineer Location: Pune (Hybrid) Join our team as a AI/ML Engineer and be a part of our cutting-edge Generative AI lab. As an AI Engineer, you will play a pivotal role in developing and implementing core AI functionalities to drive value throughout the consulting lifecycle. Your responsibilities will include innovating information extraction, synthesis, and analysis of both structured and unstructured data to derive valuable quantitative insights. Responsibilities: Develop and own AI functionalities across the lifecycle, from initial proof of concept to production-ready pipelines. Research and experiment with new and emerging AI capabilities to establish performance metrics and suitability for proof of concept. Enhance developed pipelines into production-level modules for seamless integration into user experiences. Collaborate with the product team to ensure seamless deployment and functionality of AI solutions. Stay abreast of industry trends and technological advancements to continuously improve AI capabilities. Requirements: Experience in data science, specializing in building and deploying AI/ML applications. Proficiency in Python is a must, along with experience in ML libraries like Scikit-Learn and SQL. Familiarity with cloud-based platforms such as Azure and vector databases like pinecone is preferred. Deep understanding of statistical and machine learning models, including data preparation, model selection, hyperparameter tuning, and performance evaluation. Experience in processing unstructured natural language data and text extraction. Knowledge of NLP techniques, including text processing, TF-IDF, semantic parsing, and sentiment analysis, is a plus. Previous exposure to Generative AI and large language models will be advantageous. Strong analytical and problem-solving skills, with the ability to work independently with guidance. An advanced degree in Statistics, Computer Science, Physics, or Mathematics is preferred. Benefits: Unlimited Leave Policy Flexible working Hours Supportive team for Personal and Professional Growth Joining our team means being part of a founding team where you'll have ample opportunities for personal and professional growth.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accenture's clients on how to design & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of client's business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualifications Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance." Accenture's S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but that's why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again!"" We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accenture's clients on how to design & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of client's business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualifications Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3-10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting – Global Network Practice :- Responsible AI COE Title :- Responsible AI Manager Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere – transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance." Accenture's S&C Global Network – Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues – our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively – to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but that's why people love it here. You will be working with famous brands and household names – no worrying about how to explain what you do to your family again!"" We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accenture's clients on how to design & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI – policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of client's business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualifications Skillset Requirements: Education :- PhD / Masters / Bachelor’s degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 7+ years of Hands-on Data science experience in solving real life complex business problems Minimum 3 years’ experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning – clustering techniques Recommender Systems Reinforcement Learning Deep Learning – Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance." Accenture's SC Global Network Data AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but that's why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again!"" We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Qualifications Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how to design develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Develop partnerships with new aggregators and reseller. Develop and execute reseller sales strategies aligned with overall goals. Analyze and report on key performance indicators in order to achieve sales targets.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. About the Role: We are seeking a Business Data Analyst with Product Mindset who is passionate about the potential of conversational AI to enhance customer experiences and drive business outcomes. You will be part of the team to do analytics and insights for state-of-the-art AI-driven chat and voice solutions that resonate with our user base, align with business objectives, and set the benchmark in the telecom industry. What youll be doing... 1. Data Analysis: Extract, clean, and analyze large datasets related to customer and agent interactions with conversational AI channels, identifying trends, patterns, and insights. Also contribute to informed product decisions, ensuring alignment with market trends and user behavior. 2. Collaboration: Work closely with product, engineering, and AI teams to define data requirements, understand AI model outputs, and provide actionable insights. 3. Performance Metrics: Develop and track key performance metrics for our conversational AI tools to gauge effectiveness and areas for improvement. 4. Stakeholder Communication: Present findings and insights to non-technical stakeholders, influencing decision-making processes. 5. Continuous Learning: Stay updated with the latest trends and advancements in the conversational AI and telecom sectors. 6. Customer Journey Mapping: Understand and analyze the customer journey, identifying touchpoints where conversational AI can enhance the user experience. 7. Recommendation Systems: Collaborate on enhancing AI models, using insights from data to improve response accuracy and user satisfaction. 8. Data Visualization: Create intuitive visualizations and dashboards for both technical and non-technical audiences. 9. Quality Assurance: Ensure the integrity, accuracy, and relevance of data sources and analytical outputs. Youll need to have: - Bachelors degree in Business, Computer Science, Data Science, Statistics, or a related field. - 4 or more years of experience in data analytics, preferably within the telecom or AI industry. - Use case development knowledge. - Experience working with analytics tools/platforms such as Python, R, SQL, Excel, SAS/SPSS etc and relevant data visualization tools. - Experience analyzing large datasets with strong analytical skills with an ability to discern business trends. - Experience summarizing and visualizing analysis outputs. - Excellent communication skills, both written and verbal. - A positive attitude, reliability, and a strong eagerness to learn and upskill - Proactive approach to problem-solving and user experience enhancement. - Strong understanding of the telecom industry, conversational AI platforms, and their respective challenges. - Ability to work in a fast-paced, collaborative environment. Even better if you have: - Experience in the telecom industry, e-commerce, or customer support domains. - Proactive approach to problem-solving and user experience enhancement. - Demonstrable knowledge of Chatbot Flow Guidelines & Principles. -Masters degree in Computer Science or relevant. - Knowledge of industry wide best practices when it comes to customer experience. - Ability to give constructive criticism and challenge co-workers to think at their best. - Comprehensive understanding of AI/ML technologies and their applications in conversational platforms. - Experience working with statistical/data mining concepts and techniques. - Experience managing stakeholders and driving projects/use-cases to completion. - Experience with clustering/segmentation, Incremental analysis, cohort analysis. - Previous consulting experience or professional services environment experience. - Proven ability to communicate effectively at multiple levels: from team members to executive management - Proven ability to negotiate and motivate others. - Problem solving skills, self-motivation, leadership, and team orientation. Analytic, technical, and organizational skills. Why Verizon? Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice. We are a pay for performance company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program. Your benefits are market competitive and delivered by some of the best providers. You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions. We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*. Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research. You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment. Your benefits package will vary depending on the country in which you work. *subject to business approval

Job Description: AI Developer/Engineer Position Overview We are seeking an experienced and innovative Generative AI Engineer to join our team. In this role, you will design, build, and optimize cutting-edge generative AI models and systems. You will work on applications such as NLP, image synthesis, and other creative AI solutions that enhance user experiences and solve complex problems. Key Responsibilities Design, train, and fine-tune generative AI models, such as GPT, GANs, VAEs, and diffusion models, for various use cases (e.g., text, images, audio, or video generation). Collect, preprocess, and manage large datasets to ensure high-quality inputs for model training and evaluation. Optimize model performance for scalability, efficiency, and accuracy while addressing issues like bias, fairness, and robustness. Collaborate with software engineers to integrate AI models into production systems, ensuring reliability and scalability. Stay up to date with the latest research in generative AI and apply innovative techniques to solve business problems. Work closely with cross-functional teams, including product managers, designers, and data scientists, to understand user needs and translate them into technical requirements. Implement monitoring and evaluation frameworks to track the performance and impact of generative AI solutions in real-world applications. Qualifications Education : Bachelors or master’s degree in computer science, Machine Learning, AI. Experience : Proven experience in building and deploying generative AI models. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of NLP, computer vision, or other generative domains. Technical Skills : Expertise in Python and familiarity with ML libraries. Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions. Experience with MLOps tools and pipelines for managing model lifecycles. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. Ability to adapt to fast-paced and dynamic environments.