1794 Data Architecture Jobs - Page 39

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model current and new data, contributing to data architecture decisions and solutions. 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 data modeling efforts for various projects.- Develop and maintain data models for databases.- Ensure data integrity and quality in all data modeling activities.- Conduct data analysis to support business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles.- Experience with data modeling tools such as ERwin or PowerDesigner.- Knowledge of data governance and data quality best practices.- Good To Have Skills: Experience with data warehousing concepts. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Noida 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 : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15-year full time education is required Qualification 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 : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with business objectives and supports efficient data management practices. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise in the data architecture process. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather insights and feedback from stakeholders.- Continuously evaluate and improve data architecture practices to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Knowledge of data governance frameworks and compliance standards.- Familiarity with cloud data architecture and storage solutions. Additional Information:- The candidate should have minimum 15 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15-year full time education is required Qualification 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 : Data & AI Strategy Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with business objectives and supports efficient data management practices. You will collaborate with various teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Continuously evaluate and improve data architecture practices to ensure scalability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design and implement data governance frameworks.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 15 years of experience in Data & AI Strategy.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Product 360 (PIM) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data architecture and ensuring that data is accessible and reliable for decision-making purposes. 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.- Mentor junior team members to enhance their skills and knowledge in data engineering practices.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Product 360 (PIM).- Strong understanding of data modeling and database design principles.- Experience with data integration and ETL tools.- Familiarity with cloud data platforms and services.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in Informatica Product 360 (PIM).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 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 : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements, analyze data flows, and implement best practices in data management, all while maintaining a focus on scalability and performance. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather insights and feedback from stakeholders.- Mentor junior professionals in data architecture best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and methodologies.- Experience with data integration tools and technologies.- Familiarity with cloud-based data storage solutions.- Ability to design and implement data governance frameworks. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 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. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Reltio Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model existing and new data, ensuring data integrity and quality. 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.- Collaborate with business representatives to understand data requirements.- Design and implement data models to meet business needs.- Ensure data integrity and quality in all data modeling activities.- Provide expertise in data modeling best practices.- Contribute to data architecture decisions and strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Reltio.- Strong understanding of data modeling concepts.- Experience with data modeling tools and techniques.- Knowledge of data governance principles.- Familiarity with data integration and data warehousing concepts. Additional Information:- The candidate should have a minimum of 3 years of experience in Reltio.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 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 : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15 year full time education is required Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Cloud Data Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationData ArchitectKemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise.Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. ResponsibilitiesDefine architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. QualificationsBachelors degree in computer science, Computer Engineering, or equivalent experience. A minimum of 3 years experience in a similar role. Demonstrable knowledge of Secure DevOps and SDLC processes. Must have AWS or Azure experience.Experience with Data Vault 2 required. Snowflake a plus.Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in problem-solving sessions, contributing your insights and expertise to develop effective solutions that align with the overall data strategy of the organization. Your role will require you to stay updated with the latest trends in data engineering and analytics, ensuring that the data platform remains robust and efficient. 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.- Engage in continuous learning to stay abreast of industry trends and technologies.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and tools.- Experience with cloud-based data storage solutions.- Familiarity with data modeling concepts and best practices.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams to ensure seamless integration and functionality. 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.- Develop and implement software solutions to meet business requirements.- Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of ETL processes and data integration.- Experience in designing and developing data processing solutions.- Good To Have Skills: Experience with data warehousing technologies. Additional Information:- The candidate should have a minimum of 3 years of experience in Ab Initio.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.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. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Data Services, Microsoft Dynamics AX Technical Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a Team Lead - Migration Engineer with deep expertise in Microsoft Dynamics 365 Finance & Operations (D365 F&O) to drive successful data migration, system upgrades, and platform transitions. The ideal candidate will be responsible for leading migration projects, ensuring data integrity, optimizing migration processes, and collaborating with teams to ensure seamless transitions.Key Responsibilities:Lead end-to-end migration projects for transitioning legacy systems to Microsoft Dynamics 365 F&O.Develop migration strategies, roadmaps, and execution plans for seamless data transfer.Design and implement ETL processes to ensure accurate and efficient data migration.Collaborate with technical teams to configure data mappings, transformations, and validation rules.Ensure compliance with Microsoft best practices for data migration and security.Conduct data integrity checks, validation, and reconciliation post-migration.Provide guidance and mentorship to a team of migration engineers, developers, and consultants.Troubleshoot migration-related issues and optimize performance for large-scale data transfers.Stay updated with the latest D365 F&O upgrades, tools, and methodologies related to data migration.Required Skills & Qualifications:Proven experience in Microsoft Dynamics 365 F&O migration projects.Strong knowledge of data architecture, ETL tools, and integration frameworks.Expertise in SQL, Azure Data Factory, and other data transformation tools.Hands-on experience with data cleansing, mapping, validation, and reconciliation.Ability to lead and manage teams in large-scale migration projects.Excellent analytical and problem-solving skills.Strong communication and stakeholder management abilities.Preferred Certifications:Microsoft Certified:Dynamics 365 Finance Functional Consultant AssociateMicrosoft Certified:Dynamics 365 Data Migration & Integration SpecialistMicrosoft Certified:Azure Data Engineer Associate Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : GCP Dataflow Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BTech Summary :As a Data Platform Architect, you will architect the data platform blueprint and implement the design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your day will involve designing and implementing data platform components, ensuring seamless integration across systems and data models. 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 data platform architecture design and implementation- Ensure seamless integration between data platform components- Provide guidance and support to Integration Architects and Data Architects Professional & Technical Skills: - Must To Have Skills: Proficiency in GCP Dataflow- Strong understanding of cloud data architecture- Experience with data modeling and data integration- Hands-on experience with data platform implementation- Knowledge of data governance and security practices Additional Information:- The candidate should have a minimum of 7.5 years of experience in GCP Dataflow- This position is based at our Bengaluru office- A BTech degree is required Qualification BTech

Project Role : Database Administrator Project Role Description : Administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) and provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. Must have skills : Cloud Data Architecture Good to have skills : Data & AI Solution Architecture, Modern Data IntegrationMinimum 10+ year(s) of experience is required Educational Qualification : Should have completed Graduation from reputed College/University Project Role :Database Administrator Project Role Description :Administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) and provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. Must have Skills :Cloud Data ArchitectureGood to Have Skills :Data & AI Solution Architecture, Modern Data IntegrationJob :Key Responsibilities :CPG/Retail industry backgroundStrong understanding of Modern Data Engineering StackHands on experience with Big Data and data streamingStrong knowledge in architecture and design patternsExperience in designing of architectural roadmaps, rapid POC developmentKnowledge of SQL , NoSQL and Graph databasesKnowledge on data modeling, SCD types, data miningExperience with unified query engines , ETL tools , Data virtualization etcWide knowledge on modern data engineering design principl Technical Experience :Primary skills :System design , Modern Data engineering, Big DataExperience developing applications with high volume transactionsPassion for data and analytics, a philosophy of using technology to help solve business problems.Strong verbal and written communicationAbility to Manage teamWillingness to travel to client sites in India based on the need. Professional Attributes :- Must have performed in client facing roles- Strong Communication skills - leadership skills- Team handling skills- Analytical skills- Presentation skills- Ability to work under pressure Educational Qualification:Should have completed Graduation from reputed College/UniversityAdditional Info :Industry Experience CPG, Auto, Retail, Manufacturing Qualification Should have completed Graduation from reputed College/University

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline.- Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques.- Experience with chatbot, generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 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.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Solution Architect Project Role Description : Translate client requirements into differentiated, deliverable solutions using in-depth knowledge of a technology, function, or platform. Collaborate with the Sales Pursuit and Delivery Teams to develop a winnable and deliverable solution that underpins the client value proposition and business case. Must have skills : Solution Architecture Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will own the overall solution blueprint and roadmap, working closely with clients to articulate business problems and translate them into an appropriate solution design. You will be responsible for providing technical leadership and guidance to the team, ensuring the successful delivery of projects. Roles & Responsibilities:Understand Data & AI business requirements and convert them into technology requirements (like ETL, DQ, BI, AI) Define application architecture diagrams from Data ingestion to Data consumption (AI/BI)Align D&A technology components with application architecture (like Informatica for ETL, Power BI for BI, SAS/Python for AI, Converse for Chatbot) Create ADM effort estimates based on scope & inventory (like XXX man days) Work with Data & AI Capability SMEs and leads for estimation sign offs Create staffing plans based on recommended on/off ratios, pyramid guidelines (like 6 months, 10 FTEs, 3 On & 7 ATCI) Create solution plan decks as a common understanding document for sales and delivery teams (30-40 slides deck) Conduct solution reviews with Global sales leadership /account leads/commercial directors Conduct delivery reviews with Global, ATCI delivery leadership/ DoDs Act a bridge between sales and delivery teams Provide inputs to client facing proposal documents - Why this solution, Why this tech component, Why our organization for this solution etc.Defend the solution (architecture, estimates, staffing etc. ) in various internal and external forums - Client presentations, Capability/delivery/sales MD reviews Provide solution inputs to legal team for SOW/contracting Provide solution hand over to delivery team after winning the deal Professional & Technical Skills: Must To Have Skills: Data Architecture principles or any D&A skills like Informatica, Tableau etc.Experience in designing and implementing scalable and secure solutionsKnowledge of cloud platforms and services such as AWS, Azure, or Google CloudProficient in Microsoft Excel like - Pivots, Drop downs, Data validations, Macros. Good To Have Skills: knowledge in Microsoft Power Point for leadership reporting Experience in working with cross-functional teamsExcellent communication and presentation skills Additional Information:- The candidate should have a minimum of 12 years of experience in Solution Architecture- This position is based at our Mumbai office- A 15 years full-time education is required. Qualification 15 years full time education

Management Level:I&F Decision Science Practitioner Associate Director Job Location: Bangalore / Gurgaon / Mumbai Must-have Skills: Generative AI, Cloud Computing, Emerging Data & AI Platforms/Technologies/Trends, Data & AI Strategy Development, Business Case Development & ROI Analysis, Data Architecture & Operating Model Design, AI Strategy Execution and Governance, Stakeholder Management and Executive Communication Good-to-have Skills: Wealth Analytics (e.g., Asset Allocation, Robo Advisory, Personalization of Insights) , Responsible AI Implementation , Cross-functional Leadership on Large Transformative Deals , Ecosystem Strategy and Partner Engagement Job Summary We are seeking an experienced and visionary Ind & Func AI Value Strategy Senior Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role involves defining and leading data and AI strategies for large transformation deals within Financial Services, working on high-impact initiatives that shape how clients adopt AI, generate value, and innovate at scale. Key Responsibilities Strategy & Execution Lead the development of robust data and AI strategies by identifying high-value business use cases and redesigning processes to unlock transformative outcomes Define current-state assessments and future-state roadmaps using tools like data diagnostics, AI maturity assessments, and business case development Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Masters degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. Professional & Technical Skills Deep understanding of Data and AI technologies, cloud platforms (AWS, Azure, GCP), and architectural principles Proven ability to drive business transformation using strategic AI tools and techniques Strong stakeholder engagement and the ability to influence decisions at senior executive levels Additional Information Excellent communication, leadership, and cross-functional collaboration skills Willingness to travel as required for client engagements (up to 40%) About Our Company | AccentureQualification Experience: Minimum 12 years of experience in Data and AI Strategy, with a focus on driving business value through strategic AI applications Educational Qualification: Masters degree in Computer Science, Data Science, Business Administration, or a related field MBA (preferred)

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. 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.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects.- Ensure cohesive integration between systems and data models.- Implement data platform components.- Troubleshoot and resolve data platform issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- 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 Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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 data architecture design and implementation.- Optimize data delivery and re-design infrastructure for greater scalability.- Implement data security and privacy measures.- Collaborate with data scientists and analysts to understand data needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Strong understanding of cloud-based data solutions.- Experience with data warehousing and data lakes.- Knowledge of SQL and NoSQL databases.- Hands-on experience with data integration tools.- Good To Have Skills: Experience with Azure Machine Learning. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Azure Data Services.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture and platform functionality. 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.- Engage in continuous learning to stay updated with the latest trends and technologies in data platforms.- Assist in the documentation of data architecture and integration processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and methodologies.- Experience with cloud-based data solutions and architectures.- Familiarity with data modeling concepts and practices.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. Job Description: About Us Join the Avi Application Load Balancer Analytics team which plays a critical role in driving insights, performance optimization, and intelligent automation across our platforms. Beyond our daily responsibilities, our team has a proven history of innovation, with an impressive portfolio of multiple patents. We encourage and support each other in exploring new ideas and turning them into deployable solutions, fostering a culture of creativity and intellectual curiosity. We re looking for a seasoned Staff Engineer to lead complex analytics initiatives that intersect big data, AI/ML, distributed systems, and high-performance computing. This is an on-site position in Bangalore, India, where you will be part of a larger cross-border team of smart and motivated engineers located both in Bangalore, India and Palo Alto, USA while enjoying the autonomy and support to express yourself creatively and deliver at your best. What You ll Do Architect and lead the design of scalable, high-performance data analytics platforms and systems. Develop and optimize services using GoLang, C++, and Python for ingesting, processing, and analyzing massive volumes of telemetry and network data. Implement data pipelines and analytics workflows across SQL/NoSQL databases (e.g., PostgreSQL, TimescaleDB, Redis, etc.). Build and manage search and indexing systems using OpenSearch or Lucene , ensuring low-latency querying and efficient data retrieval. Design and enforce strong data modeling practices across structured and unstructured data sources. Collaborate closely with ML engineers to deploy AI/ML models for predictive analytics, anomaly detection, and intelligent insights. Must have - 15+ years of experience in software/data engineering, preferably within large-scale networking, cloud infrastructure, or data platforms. Expertise in GoLang, C++, and Python with production-level experience in performance-critical systems. Deep understanding of SQL and NoSQL databases , their tradeoffs, scaling strategies, and schema design. Strong hands-on experience with search technologies such as OpenSearch, Lucene , or Elasticsearch. Proven experience with data modeling , pipeline optimization, and data architecture. Solid foundation in AI/ML concepts with applied experience in deploying models into production analytics systems. Strong communication and leadership skills with a passion for mentorship and technical excellence. Nice to Have - A strong background in networking; with proven experience in building high performance networking appliances Experience in telemetry, network data analytics, or observability systems. Familiarity with Kubernetes, Kafka, Spark, or similar distributed systems technologies. Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law. If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.