Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : GCP Dataflow, Google Dataproc, Google Pub/Sub Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education br/>Key Responsibilities :A:Implement and maintain data engineering solutions using BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Collaborate with data scientists to deploy machine learning modelsC:Ensure the scalability and efficiency of data processing pipelines br/>Technical Experience :A:Expertise in BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Hands-on experience with data engineering in a cloud environment br/>Professional Attributes :A:Strong problem-solving skills in optimizing data workflowsB:Effective collaboration with data science and engineering teams Qualifications 15 years full time education

As a Conversational AI Engineer, you will design and develop cutting-edge AI solutions, working with LLMs, RAG, multi-modal AI, and knowledge-driven systems to create intelligent conversational experiences.

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience Should be experienced in ML development life cycle processes, tools, concepts, and methodologies. Demonstrate good leadership skills Demonstrates excellent verbal and written communications skills Demonstrates strong analytical thinking and problem-solving skills Creative approach to problem solving, innovation and issue resolution Superior interpersonal skills and the ability to collaborate actively and proactively with others in a cross-functional team

What youll be doing... Youll be studying new and emerging trends in B2B to fuel your thinking about where we head next and how well transform Verizon's VBG market. Youll explore the current state, and identify gaps and the next big opportunity. And craft a long-term vision and adjust along the way as you respond to the rapidly changing landscape. Youll bring your vision to life from development to go-to-market strategy and into the hands of customers, building better ways for businesses to stay connected. Understanding and anticipating what the market needs. Defining requirements and leading the team through design and development. Working closely with stakeholders across various internal teams to implement SDLC enhancements. Discovering use cases for new features and enhancements that improve customer experience and sales conversions. Partnering with stakeholders to deliver new features and enhancements on time , writing user stories and leading working team cadence and calls, setting meeting agenda, defining key action items and follow-ups. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships with external partners and cross-functional teams to get it all done. Participating in business case development and presentations for alignment with working teams. What were looking for... You are the creative one but you are not just a big idea person, you know what makes sense and how to get it done. You have conviction in your ideas but also know how to collaborate and when to adjust your approach. You embrace failure for the learning it provides. You can inspire and motivate others to deliver your vision. You view obstacles as puzzles to be solved. You are driven by the desire to delight your ultimate client, the customer. Youll need to have: Prior experience with digital analytics, operations, ecommerce / omni channel implementation Experience with Jira or Trello for project management and product backlog management Ability to analyze disparate data sources and develop actionable recommendations independently or with analytics team support. Hands-on experience with any of the CRM systems , Point of Sales (POS ) Software, Chatbot platforms, CCAI. Experience with any data analytics tools such as Adobe Analytics , Google Analytics, Mixpanel,Microsoft Clarity,CRM Hubspot. Ability to identify, trouble shoot, and resolve problems across the digital ecosystem. Exceptional communication skills; written, oral and presentation. Bachelors degree or four or more years of work experience. Even better if you have one or more of the following: A Masters degree ideally an MBA. Familiarity & having knowledge in Machine learning, Neural networks or Deep Learning Convey your ideas in compelling and persuasive ways to a variety of audiences. Proven ability to manage deadlines in a highly-complex, fast-paced environment. Excellent analytical and critical thinking skills Innovation mindset

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring.

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience Should be experienced in ML development life cycle processes, tools, concepts, and methodologies. Demonstrate good leadership skills Demonstrates excellent verbal and written communications skills Demonstrates strong analytical thinking and problem-solving skills Creative approach to problem solving, innovation and issue resolution Superior interpersonal skills and the ability to collaborate actively and proactively with others in a cross-functional team

The Enterprise Architect Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Enterprise Architecture & Business Transformation | Level: Manager | Location: Bangalore/Gurugram/Mumbai/Pune/Hyderabad/Kolkata | Years of Exp: 10 to 15 Explore An Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, you will proactively and holistically help and guide the enterprise leaders, product managers, product owners and distributed product delivery teams through transformation and optimization initiatives, supporting the formulation of business strategy, outcomes and capabilities. Your scope of activities could include helping the organization achieve targeted business outcomes related to growing revenue, optimizing costs, mitigating risks and improving sustainability. You focus on development of the business and IT strategy and enterprise architecture of the organization as a whole. You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Coach and mentor other architects, product owners/managers and business stakeholders to instill architectural thinking Scope of Activities: As an Enterprise Architect, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Work with business and leadership stakeholders to develop strategy Lead the analysis of business and operating models, market trends and the technology industry to determine their potential impact on the enterprise's business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organization's digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organization's targeted business outcomes. Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Build and Maintain Relationships Build the EA value proposition and structure business engagement Build the EA value proposition, contributing to positioning the EA practice as an internal management consultancy, offering services and skills to support the development and execution of business strategy. Develop a portfolio of consulting services, designed to meet business and stakeholder needs, and delivers in an agile and time-boxed way. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Lead interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes Develop the business architecture Position the EA practice at the intersection of business and IT. Ensure that the EA practice is designed and enabled to formulate, translate and execute business strategy. Work with business architects and business leaders to identify key drivers and targeted business outcomes to derive useful business context. Bring alignment across business and IT Lead analysis of the business' future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the CIO and IT leaders to find the right EA organizational design to drive business-outcomes. Ensure that the EA organizational design process leads to a more efficient and effective business and IT operating model, significantly improved results and EA resources empowered and committed to the integration of business and IT. Support Solution Design and Delivery Support portfolio modernization and develop roadmaps Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Lead analysis of the IT environment to detect critical deficiencies and recommend solutions for improvement. Lead the development of an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture. Read more about us. Qualifications Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the development of Security solutions, architecture, design, asset documentation etc. Experience in assessment and implementation of security industry and regulatory compliance standards like ISO 27001, NIST, HIPAA, GDPR, CSA STAR compliance, PCI DSS, GDPR, CCPA, HITRUST Drafting policies, procedures and assist with security process development Experience in cloud assurance. Building security strategy, security operating model for cloud- based solutions, deployments, or migration Leading Security RFP response and security solutioning specific to client needs Experience in Gap, risk and maturity Assessments, Remediation recommendations and drafting To-Be Security architecture for clients Exposure to risk management, risk quantification Helping solve key business problems and challenges by enabling a security architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Experience in participating in client presentations & orals for proposal defense etc. Implementing programs/interventions that prepare the organization for the implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Provide thought leadership to the downstream teams for developing offerings and assets Mentoring and developing our people Professional certifications like CISSP, CISA, CISM, CEH, ISO27001, CRISC, CCSK

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring.

Gen AI Prompt Lead Designer with Application Integration We are seeking a passionate GenAI Prompt Lead Designer or Architect with a strong engineering background. The ideal candidate thrives in a self-managed team, embraces challenges, and takes an active role in building automated solutions across multiple AI platforms. Responsibilities : Prompt Development : Design, test, and refine prompts to optimize large language model (LLM) performance (e.g., GPT-4, BERT). Tailor prompts for specific applications like customer support, content generation, or virtual assistants. AI Integration & Automation: Integrate AI services (Azure, AWS, Google Cloud, OpenAI) into existing systems to streamline workflows and automate processes. Research & Innovation: Stay informed on the latest advancements in NLP and LLMs. Experiment with new methodologies, share insights, and propose innovative approaches to enhance AI capabilities. Use Case Development: Work with stakeholders to develop prompts and AI models that meet business goals and user needs. Lead AI Initiatives: Architect and develop large-scale AI models for natural language understanding, text generation, and creative content generation. Process Automation & Collaboration: Define automation needs, troubleshoot issues, and implement intelligent automation using RPA tools (UiPath, Automation Anywhere). Requirements : Bachelors or Masters in Computer Science, Computational Linguistics, Data Science, or a related field. 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience. Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering. Experience in API integration and application development Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch). Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus. Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts:EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s) <

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 : Google Cloud Platform Architecture 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 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 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. Lead the implementation of AI and ML solutions. Stay updated on the latest AI and ML technologies. Mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Platform Architecture. Strong understanding of AI and ML concepts. Experience with deploying AI models in production environments. Hands-on experience with deep learning and neural networks. Knowledge of chatbots and image processing. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture. This position is based at our Coimbatore office. A 15 years full-time education is required. Qualifications 15 years full time education

Responsibilities As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying softwares on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring Preferred technical and professional experience Should be experienced in ML development life cycle processes, tools, concepts, and methodologies. Demonstrate good leadership skills Demonstrates excellent verbal and written communications skills Demonstrates strong analytical thinking and problem-solving skills Creative approach to problem solving, innovation and issue resolution Superior interpersonal skills and the ability to collaborate actively and proactively with others in a cross-functional team

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve working with Python and applying GenAI models as part of the solution, along with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Develop and deploy applications and systems that utilize AI tools and Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Collaborate with cross-functional teams to design and implement AI-based solutions that meet business requirements. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Strong understanding of AI and machine learning algorithms. Experience with cloud AI services and application pipeline. Experience with production-ready quality. 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 Python. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful AI-driven solutions. This position is based at our Bengaluru office. Qualification 15 years

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve working with Python and applying GenAI models as part of the solution, along with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Develop and deploy applications and systems that utilize AI tools and Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Collaborate with cross-functional teams to design and implement AI-based solutions that meet business requirements. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Strong understanding of AI and machine learning algorithms. Experience with cloud AI services and application pipeline. Experience with production-ready quality. 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 Python. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful AI-driven solutions. This position is based at our Bengaluru office. Qualification 15 years

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required

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 : Salesforce Einstein AI 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 utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of 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 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. Lead the implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 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 : Salesforce Einstein AI Good to have skills : NA 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 utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of 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 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. Lead the implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 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 : Salesforce Einstein AI Good to have skills : No Function Specialty 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 utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of 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 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. Lead the implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 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 : Salesforce Einstein AI Good to have skills : NA 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 utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of 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 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. Lead the implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 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 : Salesforce Einstein AI Good to have skills : No Function Specialty 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 utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of 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 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. Lead the implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML Architect, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud or on-prem application pipeline with production-ready quality. Collaborate with cross-functional teams to ensure successful implementation of AI/ML solutions.Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Machine Learning Services. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification. Strong understanding of AI/ML algorithms and techniques. Experience with deep learning, neural networks, chatbots, and image processing. Experience with cloud data architecture solutions. Experience with cloud or on-prem application pipeline with production-ready quality. Experience with integrating multiple services such as NLP, voice recognition, and third party APIs. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Additional Information: The candidate should have a minimum of 17 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification Total 15 years of full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and natural language processing to deliver impactful data-driven solutions. Roles & Responsibilities: Tracking of multiple models, experiments for auditing purpose Collaborate with data scientists for hyper parameter tuning and features maintenance. Model management and versioning Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance. Assist in testing, automated deployment A pipeline for triggering retraining to detect model drift or data drift, trigger retraining. Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning Operations. Must To Have Skills:Proficiency in Python and related libraries such as NumPy, Pandas, and Scikit-learn. Must To Have Skills:Experience with deep learning, neural networks, chatbots, and natural language processing. Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines Work with business, data scientists to ensure value realization, ROI on operationalization of models Containerization, packaging of ML models Endpoint creation for prediction Solid understanding of statistical analysis and machine learning algorithms. Experience with programming languages such as Python, R, and Java. Experience with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Experience with data visualization tools such as Tableau or Power BI. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with software development methodologies such as Agile or Scrum. Additional Information: The candidate should have a minimum of 3 years of experience in Machine Learning Operations. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualifications BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :Stakeholder management Creation, tracking and reporting of project status by working closely with customer Use the different statistical/ modelling techniques to increase and optimize the business outcomes. Roles & Responsibilities: Strong understanding of Python data types and Object-oriented programming. Understanding of the Machine Learning algorithms. (Supervised, Semi-supervised and unsupervised) Understanding different integrations touch points in ML delivery. Should anchor Pilot/MVP/Production Machine learning use case delivery for deployments on cloud as well as open source. Familiar with computer vision and NLP. Mine and analyze the data using state of the arts methods. Develop and implement custom data models and algorithms to apply to datasets. Professional & Technical Skills: Collaborative mindset with strong verbal and written communication skills. Experience to work in Agile and DevOps processes. Open to learn newer technologies. Additional Information: The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions. Qualifications BE

Role & responsibilities Job Purpose Automation Architect conducts high level/ detailed RPA assessments either for new or existing Automation Opportunities. Also, evangelizes the Robotic Process Automation concepts with various Deals. Responsibilities Solution back-office process automation leveraging Automation Anywhere Strong knowledge on Automation Anywhere offerings and their application in business processes Strong knowledge on Automation Anywhere platform set up and knowledge on Control Room for admin related activities Support building automation capability and mentor development team and architects. Support in Pre-Sales efforts providing technical expertise on standard offerings and client requirements. Assist development team in resolving technical problems. Anticipate, identify, track and resolve technical issues and risks affecting delivery. Assist with the design, build, rollout and run support for technology solutions. Design and/or configure applications/ tools to functional and technical requirements. Coordinate and participate in structured peer reviews / walkthroughs. Architect on Robotic Process Automation. Evaluate RPA tools and provide recommendations. Assess automation opportunity from technical perspective and provide solution. Support in Pre-sale activities and provide technical solution to automate client requirements. Anticipate, identify, track and resolve technical issues and risks affecting delivery. Assist Support teams with technical expertise to resolve issues. Preferred candidate profile Over 10 years of IT experience, minimum 3 years experience in leading architecture and design • Certified and experienced on Automation Anywhere RPA Tool. Experience in Blue Prism, and UI path will be an added advantage • Architecting enterprise level automation involving multiple systems, sub-systems and ERPs • Proficient in scripting language (JS/ VBS/ JavaScript) • Rich experience with programming (preferable in Java / .NET (C#, VB, etc.)/ VBA / HTML/ SQL) • Hands-on experience in designing high level technical solutions • Has experience in providing technical direction for the development, design, and systems integration for client engagement, from definition phase through to implementation. • Should have good analytical and problem solving skills • Exposure to SAP, Oracle or other industry standard ERP is preferred. Strong communication skills • Good interpersonal and teamwork skills

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. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system.Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.Develop skills outside your comfort zone, and encourage others to do the same.Effectively mentor others.Use the review of work as an opportunity to deepen the expertise of team members.Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.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 Title: Senior Associate, Data Science - Conversational AI Quality Assurance Position: Manager Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), CPG/Retail, Financial Services, Industrial Products and Services (IPS), Deals Domain: Data Science – Conversational AI About Acceleration Center Bengaluru At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bengaluru is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel We are looking for an experienced senior associate with a strong understanding of testing methodologies and a Conversational AI background (with overall professional experience of 4+ years) to work in our Analytics Consulting practice in Mumbai, Bengaluru. Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences such as business analytics or informatics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Familiarity with the Conversational AI domain, conversational implementation and testing, customer experience metrics, and industry-specific challenges. Expertise in various NLU based testing methodologies, including conversational flow end to end testing, NLP and API testing, functional testing, regression testing, integration testing, performance testing, and user experience testing on Conversational AI systems Understanding of conversational (chats, emails, and calls) data to test and train Conversational AI systems Understanding the critical factors in Performance, Load, and Stress Testing for Platform Evaluation and Integration Assessment Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building and testing Conversational AI solutions for clients NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl.Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI Familiarity with sentiment analysis, topic modeling, and text classification techniques Experience with test automation tools and frameworks, such as Cyara, Botium, Postman, Qmetry, Qtest, Selenium, IBM Watson Assistant Toolkits, Cognigy Test Case Builder or similar, to streamline and automate the testing process for chatbots. Strong problem-solving skills with the ability to identify, analyze, and troubleshoot issues encountered during testing Strong understanding of diverse testing methods across different devices to verify the Conversational AI system Proficiency in programming languages such as JavaScript Excellent communication skills Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Proficiency in any of the data visualization tools like Tableau, Power BI, Quicksight and others Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Roles And Responsibilities Develop, evaluate, and execute on project test plans, test books to include details about unit testing, end to end testing and chatbot conversation transcripts under the guidance of project manager Analyze chatbot performance metrics and generate insightful reports for client presentations Collaborate and address identified issues with development and coach the junior team members Devise complex testing scenarios for quality delivery of products Identify and address potential vulnerabilities in Conversational AI system, ensuring data privacy and protection. Ability to test and deploy production ready code. Build storylines and make presentations for the client team and/or PwC project leadership team. Contribute to the knowledge and firm building activities What We Offer At PwC, we care for the mental & physical well-being of our people and respect the flexibility that is needed during challenging times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours. Mid-year appraisal cycle to reward performance on time Opportunities to solve problems which matter to our clients and have a strong, long-lasting impacts Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you with access to Massive Online Open Courses (MOOC) at no cost. A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation