1170 Cloud Platform Jobs - Page 7

About The Role Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About The Role Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infrastructure Engineer, you will assist in defining requirements, designing and building data center technology components and testing efforts. Your typical day will involve collaborating with various teams to ensure that the infrastructure meets the necessary specifications and standards. You will engage in discussions to refine project goals and contribute to the overall success of the technology initiatives within the organization. Your role will also include troubleshooting and resolving any issues that arise during the implementation of infrastructure solutions, ensuring that all components function seamlessly together to support business operations. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Cloud Security Services.- Strong understanding of cloud infrastructure design principles.- Experience with data center operations and management.- Familiarity with networking concepts and protocols. Additional Information:- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.- This position is based in Coimbatore.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. 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 Infrastructure Engineer, you will assist in defining requirements, designing and building data center technology components and testing efforts. A typical day may involve collaborating with various teams to gather requirements, developing architectural designs, and ensuring that the technology components meet the necessary specifications. You will also engage in testing activities to validate the functionality and performance of the systems being developed, while continuously seeking improvements in processes and solutions to enhance overall efficiency and effectiveness. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with cloud migration strategies and best practices.- Strong understanding of data center operations and management.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with networking concepts and security protocols. Additional Information:- The candidate should have minimum 7.5 years of experience in Google Cloud Platform Architecture.- This position is based at our Jaipur office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 Security ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated on industry trends and best practices to ensure that the solutions you propose are innovative and effective. 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 sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Cloud Security Services.- Strong understanding of cloud computing principles and architecture.- Experience in designing scalable and resilient cloud solutions.- Proficiency in cloud migration strategies and best practices. Additional Information:- The candidate should have minimum 12 years of experience in Google Cloud Platform Architecture.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 Security ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs, ensuring that the architecture aligns with the overall business objectives and technical requirements. You will engage in discussions with stakeholders to gather requirements, analyze existing systems, and propose innovative architectural solutions that enhance efficiency and effectiveness across the organization. Your role will also include mentoring junior team members and providing guidance on best practices in technology architecture. 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 meetings to gather requirements and align on architectural decisions.- Evaluate and recommend new technologies and tools to improve system performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Cloud Security Services.- Strong understanding of cloud computing principles and best practices.- Experience in designing scalable and resilient cloud architectures.- Familiarity with containerization technologies such as Docker and Kubernetes. Additional Information:- The candidate should have minimum 12 years of experience in Google Cloud Platform Architecture.- This position is based at our Coimbatore office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Multiplatform Front End Development Angular Good to have skills : Google Cloud Platform ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing innovative solutions, and ensuring that applications are optimized for performance and user experience. You will also participate in testing and debugging processes to ensure the applications function seamlessly and meet the needs of the users effectively. 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 in the documentation of application specifications and user guides.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Multiplatform Front End Development Angular.- Good To Have Skills: Experience with Google Cloud Platform Architecture.- Strong understanding of responsive design principles and best practices.- Experience with version control systems such as Git.- Familiarity with RESTful APIs and web services integration. Additional Information:- The candidate should have minimum 3 years of experience in Multiplatform Front End Development Angular.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Design: Design and develop back-end systems using Java and the Spring Boot framework Deploy: Work with Kubernetes to deploy and manage containerized applications Implement: Implement Postgres as the primary data store for the system Collaborate: Collaborate with other developers, product managers, and stakeholders to understand requirements and deliver high-quality solutions Write: Write clean, maintainable, and efficient code Review: Participate in code reviews to ensure code quality and adherence to best practices Troubleshoot: Troubleshoot and debug issues in a timely and efficient manner Improve: Continuously improve software engineering practices Perform: Perform other duties as assigned Required Skills and Experience:Technical Skills: Experience in software development, with a focus on back-end development using Java Frameworks: Strong experience with the Spring Boot framework Containerization: Experience with Kubernetes and container orchestration Database: Strong understanding of Postgres and database design principles Methodologies: Experience with Agile software development methodologies Problem-Solving: Strong analytical and problem-solving skills Communication: Excellent verbal and written communication skills Teamwork: Ability to work independently as well as part of a team Security: Strong understanding of security and data protection best practices Educational Qualifications:Bachelor's / Masters degree in Engineering disciplines such as Computer Science, Information Technology, or related fields Additional certifications (if any): Agile, DevOps, etc Preferred Qualifications (Good to Have):Domain knowledge in automotive engineering or related fields Exposure to international projects and global stakeholder management Experience with Daimler systems or similar global platforms

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Multiplatform Front End Development Angular 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 engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing innovative solutions, and ensuring that applications are optimized for performance and user experience. You will also participate in testing and debugging processes to ensure the applications function seamlessly and meet the highest standards of 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.- Assist in the documentation of application specifications and user guides.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Multiplatform Front End Development Angular.- Good To Have Skills: Experience with Google Cloud Platform Architecture.- Strong understanding of responsive design principles and best practices.- Experience with version control systems such as Git.- Familiarity with RESTful APIs and web services integration. Additional Information:- The candidate should have minimum 3 years of experience in Multiplatform Front End Development Angular.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Databricks Unified Data Analytics Platform 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 objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in guiding the team towards achieving optimal data solutions that support the organization's goals. Responsibilities:Proven experience as a Data Architect and Data Engineer leading enterprise-scale Lakehouse initiatives.Expert-level understanding of modern Data & Analytics Architecture patterns including Data Mesh, Data Products, and Lakehouse Architecture.Excellent programming and debugging skills in Python.Strong experience with Py Spark for building scalable and modular ETL/ELT pipelines.Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles.Architect data ingestion and transformation using DLT Expectations, modular Databricks Functions, and reusable pipeline components.Must have hands-on expertise in at least one major cloud platform:AWS, GCP, or Azure.Lead implementation of Unity Catalog:create catalogs, schemas, role-based access policies, lineage visibility, and data classification tagging (PII, PHI, etc.).Guide organization-wide governance via Unity Catalog setup:workspace linkage, SSO, audit logging, external locations, and Volume access.Enable cross-platform data access using Lakehouse Federation, querying live from externally hosted databases.Leverage and integrate Databricks Marketplace to consume high-quality third-party data and publish internal data assets securely.Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.Govern and manage Delta Sharing for securely sharing datasets with external partners or across tenants.Design and maintain PII anonymization, tokenization, and masking strategies using dbx functions and Unity Catalog policies to meet GDPR/HIPAA compliance.Architect Power BI, Tableau, and Looker integration with Databricks for live reporting and visualization over governed datasets.Build Databricks SQL Dashboards to enable stakeholders with real-time insights, KPI tracking, and alerts.Hands on Experience in applying Performance optimization techniquesLead cross-functional initiatives across data science, analytics, and platform teams to deliver secure, scalable, and value-aligned data products.Provide thought leadership on adopting advanced features like Mosaic AI, Vector Search, Model Serving, and Databricks Marketplace publishing.Working knowledge of DBT (Data Build Tool) is a plus.Strong background in data modeling and data warehousing concepts is required.Nice to Have:1.Certifications:Databricks Certified Professional or similar certifications.2.Machine Learning:Knowledge of machine learning concepts and experience with popular ML libraries.3.Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)4.Data Orchestration:Apache Airflow.5.Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.6.Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.7.Familiarity with DBT (Data Build Tool) Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office. Educational Qualification-- 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 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 objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices. Responsibilities:Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.Excellent programming and debugging skills in Python.Strong hands-on experience with Py Spark to build efficient data transformation and validation logic.Must be proficient in at least one cloud platform:AWS, GCP, or Azure.Create modular DBX functions for transformation, PII masking, and validation logic reusable across DLT and notebook pipelines.Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.Configure Unity Catalog:set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields.Enable secure data access across domains and workspaces via Unity Catalog External Locations, Volumes, and lineage tracking.Access and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking.Collaborate with data sharing stakeholders to implement Delta Sharing both internally and externally.Integrate Power BI/Tableau/Looker with Databricks using optimized connectors (ODBC/JDBC) and Unity Catalog security controls.Build stakeholder-facing SQL Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs.Prepare Gen AI-compatible datasets:manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.Hands on Experience in applying Performance optimization techniquesUnderstanding data modeling and data warehousing principles is essential.Nice to Have:1.Certifications:Databricks Certified Professional or similar certifications.2.Machine Learning:Knowledge of machine learning concepts and experience with popular ML libraries.3.Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)4.Data Orchestration:Apache Airflow.5.Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.6.Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.7.Familiarity with DBT (Data Build Tool) Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office. Educational Qualification:- 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Design: Design and develop back-end systems using Java and the Spring Boot framework. Deploy: Work with Kubernetes to deploy and manage containerized applications. Implement: Implement Postgres as the primary data store for the system. Collaborate: Collaborate with other developers, product managers, and stakeholders to understand requirements and deliver high-quality solutions. Write: Write clean, maintainable, and efficient code. Review: Participate in code reviews to ensure code quality and adherence to best practices. Troubleshoot: Troubleshoot and debug issues in a timely and efficient manner. Improve: Continuously improve software engineering practices. Perform: Perform other duties as assigned. Required Skills and Experience: Technical Skills: Experience in software development, with a focus on back-end development using Java. Frameworks: Strong experience with the Spring Boot framework. Containerization: Experience with Kubernetes and container orchestration. Database: Strong understanding of Postgres and database design principles. Methodologies: Experience with Agile software development methodologies. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Teamwork: Ability to work independently as well as part of a team. Security: Strong understanding of security and data protection best practices. Educational Qualifications: Bachelor's / Masters degree in Engineering disciplines such as Computer Science, Information Technology, or related fields. Additional certifications (if any): Agile, DevOps, etc. Preferred Qualifications (Good to Have): Domain knowledge in automotive engineering or related fields. Exposure to international projects and global stakeholder management. Experience with Daimler systems or similar global platforms. Why Join Us? Be part of a purpose-driven organization thats shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities.

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience. Position Description: Deep technical expertise in Oracle WebLogic and other middleware and cloud platform technologies, to the design, implementation, testing, and ongoing support of our middleware and cloud infrastructure. Installs, configures, and manages middleware applications Amazon Web Services (AWS), should be in a position to work with middleware infrastructure design and architecture, and assists with Proof Of Concept testing. 6+ years of Unix/Linux System Administration experience. 5+ years of hands-on experience managing and configuring WebLogic Server and Tomcat servers in production environments Proficiency in middleware components such as application servers, clustering, and load balancing strategies. Familiarity with database integration and connection pooling with WebLogic/Tomcat Hands-on experience with monitoring and performance analysis tools (e.g., Dynatrace, VisualVM, Splunk, or similar). Must have good experience on ticketingchange management tool like ServiceNow Familiarity with cloud technologies (AWS, Azure, GCP) and cloud-native deployments Understanding of CI/CD pipelines and tools such as Jenkins, GitLab, or similar Must have good understanding of ITIL concepts Must have skills : Oracle WebLogic Amazon Web Services (AWS) Scripting. API Gateway, S3, ECS, EKS, Fargate, EC2, Lambda, WAF, and CloudTrail. Code using tools such as CloudFormation or Terraform. Working experience on automated CI/CD pipelines. Windows and Linux operating system. Active Directory, LDAP Skills: DNS (Linux Bind) English Informatica Server - Wintel Server Management Terraform WebLogic Windows Server Update WSUS

Basic Qualifications: 5+ years developing in .Net/.Net Core 1+ year of Rest API development 1+ Years exp in Alloy Cloud Migration DB or PostgreSQL . 2+ years of experience working with Databases and writing stored procedures 2+ years of experience with Object Oriented Programming and SOLID Principles 1+ year of unit and service testing with frameworks such as xunit, Nunit, etc. 1+ year of cloud platform experience either in AWS, Azure, or GCP Preferred: Familiarity with CI/CD tooling such as Azure DevOps, Jenkins, etc. GCP experience Please note Shift Timing Requirement: 1:30 PM IST -10:30 PM IST

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 : 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 : 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 : 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 : 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

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 : 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 : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : Cloud Network Operations, React.jsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery 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- Lead the development and implementation of new features- Conduct code reviews and provide technical guidance to team members Professional & Technical Skills: (Project Specific)-Mandatory Certifications:GCP Associate Cloud Engineer OR GCP Professional Cloud Architect-MUST HAVE S:Hands-on experience in setting Cloud foundations/Landing zone, Cloud infrastructure design, network architecture design & implementation, Cloud security, logging & monitoring, -Hands-on experience in at least two or more disciplines :GKE migration, GCVE migration, CloudBuild & Cloud Run, VM migration to GCE, CI/CD pipeline, -Hands-on experience in writing Infrastructure-as-code using terraform scripting. -Excellent verbal & written communication in English.- Must To Have Skills: Proficiency in Google Cloud Platform Architecture- Good To Have Skills: Experience with Cloud Network Operations- Strong understanding of cloud architecture principles- Hands-on experience in designing and implementing scalable cloud solutions- Knowledge of containerization technologies like Docker and Kubernetes Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

We are hiring for a prestigious client for below location. Location: Bangalore , Pune , Chennai , Kolkata , Gurugram (Hybrid work mode) Skills required: Project Management, Snowflake/ GCP, Data engineer Background Only immediate or Serving candidates preferred. more than 30 days notice Kindly don't APPLY. Only B.Tech Candidates. with Excellent communication skills. Budget Max : 36 LPA and depends on previous compensation. Preferred candidate profile Experience as a software developer and as a team lead in the data engineering space. Engineering manager experience would be an added advantage. Atleast 2 years of experience developing data solutions using any data engineering methods. Has working knowledge of SQL Worked in a startup or fast product development environment with frugality and some degree of ambiguity. B. Tech must-have, MBA would be good to have. Proven track record of delivering enterprise level ETL / Data-warehouse specific products/projects. At least 2 years experience in running either AWS/ GCP or Azure data projects. Databricks knowledge would be an added advantage 8 to 12 years of experience in the software industry. Min 5 years of experience in managing technology p rograms as program manager / Project Manager.

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 : Microsoft Power Platform Infrastructure Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE or Equivalent 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. 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.- Manage and maintain cloud infrastructure and platform environments.- Design and implement cloud-based solutions that meet business requirements.- Conduct architecture reviews to ensure security, scalability, and performance.- Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Platform Infrastructure.- Good To Have Skills: Experience with cloud infrastructure management.- Strong understanding of cloud computing concepts and principles.- Experience with deploying and managing cloud-based applications.- Knowledge of security best practices for cloud environments.- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.- Ability to troubleshoot and resolve issues related to cloud infrastructure.- Excellent problem-solving and analytical skills. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Power Platform Infrastructure.- This position is based at our Mumbai office.- A BE or Equivalent degree is required. Qualification BE or Equivalent

Please find below details about the position for your reference & provide confirmation/ acceptance for this job role: CAA (Cloud Architect Advisory) This is SAP Cloud Architect position which is elevated role as per career progression/ path for SAP Basis consultant. Architects primary role/ responsibility is to plan/ design & guide customers about their SAP Landscape and for this job position also expectation is that selected candidate will perform similar responsibilities to guide SAP Customers about their landscape on SAP RISE Platform. SAP RISE Platform offers all latest SAP Technologies (Products) with options for customer to select their own Hyperscaler (AWS, Azure or GCP). CAA team member works very closely with SAP presales team to understand Customer requirement for their landscape and based on their SAP Product/ Infrastructure selection create their to-be landscape architecture/ design. CAA team member has responsibility to discuss landscape architecture (setup & build process, dependencies etc.) with Customer leaders & their technical team. (Refer detailed Roles & Responsibilities below) This role is Customer facing and will require to join meetings, answer technical queries from customer team & present assessments. Since it is an architect role so there will not be any hands-on work. Scope for the career Have a scope of learning new technologies on SAP Products (S/4HANA, HANA Database, MDG, SaaS Products (Ariba, Salesforce etc.) & Cloud (AWS, Azure OR GCP) Will have access to all SAP internal training & learning materials to gain knowledge in latest technologies. Will gain exposure to all latest build architectures in one single place/ position which will be valuable/ useful in future. Generally this exposure is not available in any regular SAP Basis position. Will not be assigned/ dedicated to one single customer but will engage with Multiple customers in various Industries to gain knowledge about different SAP Landscape setups, Delivery processes & Challenges. Roles and Responsibilities: As a Technical Architect below would be the Roles & Responsibilities and to perform this job proper KT & Training will be provided once onboarded in the account: Bill Of Material Review & Analysis Review technical accuracy of Bill Of Material to validate that no obsolete version product (ECC etc.) is selected to build on SAP RISE platform Provide feedback to the Sales Team on Bill Of Material to confirm if selected product and version is available to build Do technical validation of customer landscape to validate Product version build viability Analyze Early Watch Reports & Technical Data to validate hardware selection/ sizing. Work closely with Sales Team on architecture, landscape, and to-be. Sizing the to be Landscape for Migrations. Customer Deal Support Pre-Signature Prepare Technical Assessments to discuss with Customer and explain about their to-be landscape Conduct Technical Assessments with customers Perform workshops with customer (networking, HA concepts, RACI reviews) Customer Deal Support Post Signature Onboarding Questionnaire Support (assist customer with questions on onboarding) Answer questions of customer relating to delivery Provide delivery with key information during sales cycle Provide turnover to delivery of key items during sales cycle Answer questions of delivery specific to the delivery Work Location : Remote(As off now) Need to Relocate Bangalore after few Months Mail: manasa.sandra@cerebra-consulting.com Technical skill and experience required: 6+ years (CAA Role)- REX (SAP Basis, SAP HANA and S/4 HANA skills, Migration/ Upgrades & Experience on Any Cloud (AWS, MS Azure, GCP) Good Comm Skill ,who can articulate , Exp in Customer Facing

4+ Years of experience in CMS, WordPress (6.5 + Bedrocks - Boilerplate) with Backend as LEMP/LAMP Stack. Cloud Platform used is Microsoft Azure Web Server used will be Nginx or Apache on Azure Frontend technologies using JavaScript, HTML, CSS