386 Cloud Platform Jobs - Page 4

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 : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions and contribute to key decisions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Collaborate with cross-functional teams to ensure successful implementation of cloud solutions.- Design and build cloud application solutions that integrate cloud and non-cloud infrastructure.- Deploy infrastructure and platform environments.- Create a proof of architecture to test architecture viability, security, and performance.- Contribute to key decisions regarding cloud solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and infrastructure.- Experience with deploying infrastructure and platform environments.- Knowledge of security and performance testing for cloud solutions.- Experience with cloud application development and integration.- Good To Have Skills: Experience with cloud platforms such as AWS or Azure.- Familiarity with containerization technologies such as Docker or Kubernetes.- Knowledge of DevOps practices and tools. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Cloud Technology Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your role involves deploying infrastructure and platform environments, creating proof of architecture to test architecture viability, security, 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.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of cloud-based solutions.- Develop and maintain cloud architecture strategies.- Ensure compliance with security and performance standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Technology Architecture.- Strong understanding of cloud infrastructure.- Experience in deploying cloud solutions at scale.- Knowledge of cloud security best practices.- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. Additional Information:- The candidate should have a minimum of 5 years of experience in Cloud Technology Architecture.- 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 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 : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will play a crucial role in ensuring the success of cloud-based projects and driving innovation in cloud technology. 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 cross-functional teams to gather requirements and design cloud-based solutions.- Develop and implement cloud infrastructure and platform environments.- Create proof of architecture to test architecture viability, security, and performance.- Ensure the availability, scalability, and reliability of cloud applications.- Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing concepts and technologies.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of infrastructure as code tools like Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and Kubernetes. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. 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 : 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 : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will play a crucial role in ensuring the success of cloud-based projects and driving innovation in cloud technology. 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 cross-functional teams to design and implement cloud-based solutions.- Develop and maintain cloud infrastructure and platform environments.- Create proof of architecture to test architecture viability, security, and performance.- Implement best practices for cloud application development and deployment.- Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing concepts and technologies.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of containerization technologies like Docker and Kubernetes.- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions in a dynamic environment. 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 knowledge sharing and mentoring within the team to enhance overall performance.- Continuously assess and improve existing processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Kubernetes, Google Kubernetes Engine, Google Cloud Compute Services.- Good To Have Skills: Experience with Google Kubernetes Engine, Google Cloud Compute Services.- Strong understanding of container orchestration and management.- Experience with cloud infrastructure design and deployment.- Familiarity with CI/CD pipelines and automation tools. Additional Information:- The candidate should have minimum 12 years of experience in Kubernetes.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Manufacturing Operations Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BE OR BTECH OR MTECH Summary :As a Cloud Platform Architect, you will oversee application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your role involves cloud adoption plans, cloud application design, and cloud management and monitoring. 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- Lead cloud platform architecture design- Develop and implement cloud adoption strategies- Ensure cloud applications meet performance and security requirements Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Operations- Strong understanding of cloud computing principles- Experience in designing and implementing cloud solutions- Knowledge of public, private, and hybrid cloud environments- Hands-on experience with cloud management tools Additional Information:- The candidate should have a minimum of 12 years of experience in Manufacturing Operations- This position is based at our Bengaluru office- A BE, BTECH, or MTECH degree is required Qualification BE OR BTECH OR MTECH

6+ years development experience in Python (Django & Flask). Hands on experience in docker, kubernetes, MySQL, PostgreSQL, MongoDB, DynamoDB,HTML/CSS,JavaScript. Cloud platforms(AWS) Familiarity with frontend frameworks- ReactJS, AngularJS & Node.js Required Candidate profile -Leading & mentoring tech team -Collaborate with cross-functional teams -Proven experience in full-stack development, client handling -Experience in developing CI/CD pipeline

Design, implement, and manage data pipelines using our customer data platform Treasure Data

At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to lifebuilding robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: What You Need to Succeed: Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skillsyou can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: Data SolutionArchitect JobDescription: Design,architect, and implement scalable data solutions on Google Cloud Platform (GCP)to meet the strategic data needs of the organization. Leadthe integration of diverse data sources into a unified data platform, ensuringseamless data flow and accessibility across the organization. Developand enforce robust data governance, security, and compliance frameworkstailored to GCP's architecture. Collaboratewith cross-functional teams, including data engineers, data scientists, andbusiness stakeholders, to translate business requirements into technical datasolutions. Optimizedata storage, processing, and analytics solutions using GCP services such asBigQuery, Dataflow, and Cloud Storage. Drivethe adoption of best practices in data architecture and cloud computing toenhance the performance, reliability, and scalability of data solutions. Conductregular reviews and audits of the data architecture to ensure alignment withevolving business goals and technology advancements. Stayinformed about emerging GCP technologies and industry trends to continuouslyimprove data solutions and drive innovation. ProfileDescription: Experience:12-15 years of experience in data architecture, with extensive expertise inGoogle Cloud Platform (GCP). Skills:Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, CloudStorage, and IAM. Proficiency in data modeling, ETL processes, and datawarehousing. Qualifications:Masters degree in Computer Science, Data Engineering, or a related field. Competencies:Strong leadership abilities, with a proven track record of managing large-scaledata projects. Ability to balance technical and business needs in designingdata solutions. Certifications:Google Cloud Professional Data Engineer or Professional Cloud Architectcertification preferred. Knowledge:Extensive knowledge of data governance, security best practices, and compliancein cloud environments. Familiarity with big data technologies like ApacheHadoop and Spark. SoftSkills: Excellent communication skills to work effectively with both technicalteams and business stakeholders. Ability to lead and mentor a team of dataengineers and architects. Tools:Experience with version control (Git), CI/CD pipelines, and automation tools.Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process, cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. Your typical day will involve collaborating with the client team, coordinating with subject matter experts, and leveraging your expertise in sales pursuit management to drive the origination process and achieve sales targets. Roles & Responsibilities:- Expected to be a SME 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.- Lead the origination process cross service-group deals.- Collaborate with the client team and relevant subject matter experts.- Drive the sales pursuit management and ensure successful deal closures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Experience in managing complex sales pursuits.- Proven track record of achieving sales targets.- Excellent communication and negotiation skills. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Gurugram office.- A BE degree is required. Qualification BE

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 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 7 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 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 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 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 7 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 : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process for cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. This role requires strong leadership skills and the ability to collaborate with multiple teams to achieve sales targets and deliver exceptional customer experiences. Roles and Responsibilities:- Expected to be a SME 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.- Lead and manage the entire origination process for cross-client, cross service-group deals.- Collaborate with the CAL, client team, and subject matter experts to drive successful deal closures.- Develop and maintain strong relationships with clients and stakeholders.- Provide guidance and support to junior professionals in the sales pursuit management process. Professional and Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Excellent communication and negotiation skills.- Ability to analyze market trends and identify business opportunities.- Proven track record of achieving sales targets.- Experience in managing complex sales processes.- Ability to build and maintain strong client relationships. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Chennai office.- A BE degree is required. Qualification BE

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 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities:- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.- Exceptional communication, thought leadership, and stakeholder management skills. 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.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 18+ 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 : NAMinimum 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 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 : NAMinimum 5 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 7 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 years full time education is required Qualification 15 years full time education

We are looking for an experienced DevOps Architect with 10-15 years of expertise to work on a full-time . The ideal candidate should possess strong proficiency in Google Cloud Platform and Python scripting. You will be responsible for developing Infrastructure as Code modules, creating CI/CD pipelines, and implementing scalable and secure cloud-based solutions. The role involves working closely with product owners and engineering teams to set up monitoring, logging, and alerting frameworks, while ensuring timely delivery of infrastructure improvements. A hands-on approach, strong problem-solving skills, and independent troubleshooting ability are essential. Immediate joiners only. Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

We at EMIDS, are hiring for Sr. Data Architect Role Please find the details below and share your interest at aarati.pardhi@emids.com Job Description : We are looking for a highly experienced Senior Data Architect with a strong background in big data technologies, cloud platforms, advanced analytics, and AI. The ideal candidate will lead the end-to-end design and architecture of scalable, high-performance data platforms using PySpark, Databricks, and major cloud platforms (Azure/AWS/GCP). A strong understanding of AI/ML pipeline integration and enterprise data strategy is essential. Key Responsibilities: Should have experience on Building Data and AI Products Lead the data architecture design across modern data platforms using PySpark, Databricks, and cloud-native technologies. Define data models, data flow, and architecture blueprints aligned with business and analytical requirements. Architect and optimize big data pipelines and AI/ML workflows, ensuring performance, scalability, and reliability. Collaborate with business stakeholders, data scientists, and engineers to enable advanced analytics and predictive modeling capabilities. Design and implement data lakehouses, ingestion frameworks, and transformation layers. Provide technical leadership and mentoring to data engineers and developers. Drive adoption of data governance, security, and metadata management practices. Evaluate emerging technologies and recommend tools to support enterprise data strategies.

We are looking for an experienced Data Architect with BI skills to join our team and work with a leading media client in the USA. The ideal candidate will be proficient in designing and implementing data warehouse solutions (as our project is Data Driven), developing complex SQL queries, building ETL and ELT pipelines, and working with various cloud technologies. You will collaborate with developers, analysts, and stakeholders to build robust data solutions and ensure high-quality data delivery across different platforms. Key Responsibilities Design, architect, and implement scalable data warehouse solutions using cloud technologies like Snowflake or Google BigQuery. Develop ETL and ELT pipelines for data integration and transformation. Build storage solutions for structured and unstructured data to support data science pipelines. Work with cloud platforms such as GCP, AWS, or Azure to build and maintain scalable data solutions. Develop reporting solutions using tools like ThoughtSpot, Tableau, or Google Data Studio. (as BI) Collaborate with teams to refine processes, improve performance, and integrate new technologies as required. Qualifications Bachelor's degree in computer science, Information Systems, Engineering, or related field (or equivalent). 10+ years of experience in designing data warehouse solutions, writing complex SQL queries, developing ETL/ELT pipelines, and reporting development. 4+ years of experience in programming languages like Python. 3+ years of experience in designing solutions for structured and unstructured data, using cloud data warehouses (e.g., Snowflake, Google BigQuery), and cloud platforms (e.g., GCP, AWS, Azure). 2+ years of experience in reporting development with tools like ThoughtSpot, Tableau, or Google Data Studio. 2+ years of experience in digital advertising technologies, including ad serving, analytics, DSP, DMP, SSP, QA, targeting, and related tools (e.g., Freewheel, MadHive, Simplifi). Strong Business Intelligence (BI) skills, including designing dashboards, data visualizations, and reports to support business decision-making. Experience with customer-driven design, lean startup methodologies, and understanding customer needs on both a business and technical level. Familiarity with data pipelines, cloud technologies, and media content management systems

Have knowledge on Microsoft cloud platform Azure AD and Azure IAM. Should understand Identity Lifecycle management, Access Management, Multi-factor Authentication and Privilege Identity and Access implementation knowledge. Should be having IDAM project experience. Knowledge of Active Directory Identities and the Life cycle user creation/modification, security group - creation/modification, password management. Knowledge of Azure Cloud and Azure AD. Azure SSO Configurations, Azure MFA Configurations and Troubleshooting Understanding of Conditional Access Policies Knowledge of Azure AD RBAC concepts, Custom Roles and PAM configurations Knowledge of monitoring the Azure AD logs Knowledge of creating NSGs and modifications of it. Knowledge of Azure Identity Provisioning Service Knowledge of Azure Identity Governance. PowerShell Training and should be able to write scripting for Azure AD and PowerShell Command lets. Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT