250 Platform Architecture Jobs - Page 5

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Electronic Data Interchange (EDI) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BTech or MTech or MCA with IT or CSE or EEE or ECE15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are functioning optimally. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Should have experience in integration/B2B solutioning/designing, configuring, developing, testing and deploying using SEEBURGER BIS Suite Products.- Should have experience System Admin activities such as System Monitoring and Maintenance, Keystore Manager, User Management and BIS Landscape Manager Activities.- Must have strong experience in EDI X12 functional knowledge, EDI requirements, Partner liaison skills, Mapping analysis, BIC MD Mapping, setup and communications such as AS2, HTTPS, SFTP, HTTPs.- Must have strong experience on EDI X12, Flat file structures, OpenInvoice and nice to have EDIFACT.- Should have good experience on various Seeburger Suite products like BIS/BIC mapper, MFT, Process designer, BIS Landscape manger and BIS front-end etc.- Nice to have Seeburger Cloud Migration Experience (onpremise to cloud). Professional & Technical Skills: - Must have experience Seeburger BIS integration architecture/design, Platform Architecture and Administration- Must have experience in developing BIS MD mappings/data transformations, MFT and front-end setup- Must have strong EDI/EDIFACT skill experience- Good to experience have Logical thinking and Problem-solving skills along with an ability to collaborate Additional Information:- The candidate should have minimum 7.5 years of experience in Electronic Data Interchange (EDI).- Should have strong communication skills and presentation skills- Collaborating effectively with team members- This position is based at our Hyderabad office.- A BTech or MTech or MCA with IT or CSE or EEE or ECE is required. Qualification BTech or MTech or MCA with IT or CSE or EEE or ECE15 years full time education

Owning the Infrastructure - Co-ordination for provisioning, maintenance and monitoring Work closely with Platform Architecture and Engineering team to Improve/establish Governance Collaborate with use case team and Graph DB product team to enable the technical capabilities Onboarding of new use cases in Graph DB Owning the DevOps pipeline and processes - Create, enhance and maintenance Owning the admin related activities Graph DB new feature enablement, access, authorization ..etc.

Job Summary Synechron is seeking an experienced ServiceNow Architect with IT experience and deep expertise in IT Service Management (ITSM) , Workplace Service Delivery (WSD) , and HR Service Delivery (HRSD) modules. The successful candidate will lead the design, development, and implementation of scalable, secure, and high-performing ServiceNow solutions aligned with organizational business objectives. This role plays a critical part in driving digital transformation initiatives, optimizing service delivery processes, and ensuring platform stability and compliance. Software Required Software Skills: ServiceNow platform (latest LTS versions, with at least 8+ years of hands-on solution design) Scripting and developmentJavaScript (including GlideScript), UI Policies, Business Rules, Client Scripts, and Workflows Integration toolsREST APIs, SOAP APIs, IntegrationHub, MID Servers ServiceNow modulesITSM, WSD, HRSD Platform administration and configuration tools within ServiceNow Preferred Software Skills: ServiceNow Certified Application Developer (CAD) ServiceNow Certified Implementation Specialist (CIS) for ITSM and HRSD Knowledge of Agile/Scrum project management tools Security and compliance tools/frameworks (GDPR, HIPAA) Overall Responsibilities Architect and oversee end-to-end implementation of ServiceNow modules including ITSM, WSD, and HRSD, ensuring alignment with enterprise service management strategies. Collaborate with business and technical stakeholders to gather requirements, define technical solutions, and optimize processes. Design scalable, robust, and maintainable platform architecture, including integrations with external systems. Enforce governance standards, development best practices, and platform security protocols. Lead platform upgrades, patch management, and release cycles to ensure optimal platform performance. Provide technical guidance and mentorship to developers, administrators, and project teams. Conduct regular platform health checks, monitor performance, and implement improvements. Stay informed about ServiceNow product updates and new features, recommending adoption strategies. Ensure compliance with security, privacy, and data management policies. Technical Skills (By Category) Programming Languages: RequiredJavaScript (for scripting, workflow customization, UI policies) PreferredJava, other scripting languages for automation and integration Databases/Data Management: Familiarity with ServiceNow data models, CMDB, and data integration best practices Cloud Technologies: PreferredExperience with cloud platforms (AWS, Azure, GCP) especially in context of integrations or hosting Frameworks and Libraries: Knowledge of ServiceNow Flow Designer, IntegrationHub, and custom application development Development Tools and Methodologies: Expertise with Agile/Scrum methodologies Version control (e.g., Git) Development and deployment best practices Security Protocols: In-depth understanding of security architecture within ServiceNow Experience with roles, permissions, compliance frameworks (GDPR, HIPAA) Experience Minimum 10 years of IT industry experience with at least 8+ years dedicating to ServiceNow platform architecture and solution design Proven experience in implementing core ServiceNow modulesITSM, HRSD, WSD Strong grasp of enterprise IT processes, especially ITIL-based service management Demonstrated success in leading complex platform upgrades and multi-instance environments Experience working in large-scale, multi-stakeholder enterprise settings Knowledge of regulatory standards such as GDPR, HIPAA is desirable Alternative pathways: Candidates with substantial enterprise IT architecture experience and proven ServiceNow expertise are encouraged to apply. Day-to-Day Activities Lead design workshops, gather client requirements, and translate needs into technical architecture solutions Develop and customize ServiceNow modules, workflows, and integrations Conduct code reviews, enforce coding standards, and oversee application health Coordinate with platform administrators for environment updates and maintenance Collaborate with security teams to ensure compliance and risk mitigation Conduct platform performance reviews and implement optimization strategies Document architecture, configurations, and best practices Provide ongoing support, troubleshooting, and continuous improvement initiatives Mentor junior team members and contribute to knowledge sharing Qualifications Academic backgroundBachelor's degree in Computer Science, Information Technology, or related discipline; equivalent professional experience acceptable Certifications: RequiredServiceNow CSA, CIS (ITSM & HRSD) PreferredServiceNow CAD, additional security or integration certifications TrainingCommitment to continuous learning through certifications, webinars, and industry events Demonstrated experience in enterprise-scale implementations and platform upgrades Professional Competencies Critical thinking with the ability to analyze complex technical and business challenges Leadership skills to guide teams and influence stakeholders Excellent communication skills, capable of articulating complex solutions clearly Stakeholder management and collaboration across diverse teams Adaptability to evolving technologies and project scopes Innovation mindset to leverage new ServiceNow features and best practices Strong time management and task prioritization skills S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Hiring: Senior Salesforce Developer Location: Pune (Mundhwa) Onsite, 5 days/week Experience: 5+ yrs | Full-Time Skills: Apex, LWC, Integrations, Sales Cloud Apply now via WhatsApp: +91 9899624040 #SalesforceJobs #PuneHiring #NowHiring

IaaS Strategy & Architecture: PaaS Enablement: CaaS Leadership: Database Management: Automation & Infrastructure as Code: Governance & Compliance: Stakeholder Engagement: Required Candidate profile You'll contribute to the platform's reliability, scalability, and security and support a DevSecOps culture through strong collaboration, infrastructure-as-code practices, and continuous improvement

Role & responsibilities - Deploy, configure, and maintain the Devo, Swimlane, and Sentinel platforms. - Provide tier 2 support for platform-related incidents, troubleshooting complex issues, and identifying root causes. - Develop and implement automation scripts for routine tasks and workflows. - Collaborate with cross-functional teams to integrate platform solutions into existing infrastructure. - Lead platform upgrades, patch management, and capacity planning initiatives. - Mentor associate engineers and provide technical guidance and support. - Monitor platform performance, conduct performance tuning, and implement optimization strategies. Requirements: - Bachelor's degree in Computer Science, Engineering, or related field. - 3-5 years of experience in IT operations or platform engineering roles. - Proficiency in scripting languages such as Python, PowerShell, or Bash. - Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). - Strong understanding of networking concepts, security best practices, and IT infrastructure components. - Excellent troubleshooting and diagnostic skills. - Ability to work independently and collaboratively in a fast-paced environment.

The Role. The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking :. Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best :. Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills :. Languages & Frameworks Proficiency in Python, PyTorch, TensorFlow, JAX. (ref:hirist.tech).

ServiceNow Lead1 Key Responsibilities ITSM Architect and implement workflows for Incident, Problem, Change, Knowledge, and Request Management. Automate ITSM processes and develop custom solutions for specific business needs. GRC/SECOps Design and implement Governance, Risk, and Compliance (GRC) solutions, including risk management, policy and compliance management, and audit management. Lead the deployment and enhancement of Security Operations (SECOps) modules, including: Security Incident Response (SIR)Automate workflows for security incident management to reduce response times. Threat IntelligenceIntegrate with external threat feeds to enrich incident details and enhance response. Vulnerability Response (VR)Develop processes for identifying, prioritizing, and remediating vulnerabilities across systems and applications. Event Management IntegrationCorrelate security events with IT incidents for proactive resolution. Attack Surface ManagementEnable visibility into the organization's exposed assets and vulnerabilities. Integrate SECOps modules with third-party tools like SIEMs (e.g., Splunk, QRadar) and endpoint protection platforms for comprehensive security monitoring. Automate the response to security incidents using playbooks, workflows, and orchestration. Monitor and enhance platform performance for continuous improvements in detection and response capabilities. HRSD Lead the design and deployment of HR Service Delivery workflows, including onboarding, lifecycle events, and employee self-service portals. Ensure seamless integration of HRSD with other business systems to enhance the employee experience. CSM Oversee the configuration of Customer Service Management (CSM) modules, including case management and customer portals. Develop solutions to improve customer service processes and integrate CSM with third-party systems. SPM (Strategic Portfolio Management) Implement and optimize SPM modules, including Project and Portfolio Management (PPM), demand management, and resource planning. Develop dashboards for performance analytics and project tracking. General Responsibilities Partner with client business and technical team members to turn business requirements and technical challenges into technical solutions. Develop and host periodic workshops, white papers, and other success stories to educate and share knowledge within the ServiceNow ecosystem. Collaborate with technical team members to develop next-gen platform technologies and enhance delivery methodologies. Evaluate concepts and recommend the best solution. Skilled in using evaluation techniques ranging from simple "pro and con" comparisons to sophisticated Return on Investment (ROI) calculations. Provide peer mentoring and coaching to technical consultants and other technical team members. Support marketing events, including user conferences, regional trade shows, and webinars, etc. Provide strategic guidance and technical leadership across ServiceNow modules. Design and deliver scalable solutions that align with ITIL, security, and enterprise best practices. Collaborate with business stakeholders to gather requirements and translate them into technical designs. Integrate ServiceNow with third-party tools using REST/SOAP APIs, MID servers, and other methods. Mentor junior developers and administrators, providing guidance and best practices. Create training materials, documentation, and deliver training sessions to end-users. Monitor platform performance and ensure solutions are optimized for scalability and reliability. Excellent problem solving, analytical, and decision-making skills. Excellent communication skills with the ability to present effectively to both internal and external stakeholders. Demonstrated ability to influence, both credibly and effectively, with all levels within the organization. Demonstrated consulting aptitude (understanding of business drivers behind technology, problem solver, attention to detail, resourcefulness, etc.). Facilitation skills in leading and planning meetings, reviews, workshops, and retrospectives. Proven ability to lead multiple complex projects at a time, paying close attention to the details. Ability to tie technology back to solving a business needs and desired outcomes. Education Bachelors degree in Computer Science, IT, or related field (Masters degree preferred). Job 8+ years of ServiceNow development experience, with at least 3+ years in a lead or technical expert role. CSA/CAD certifications (Compulsory). CIS certifications (ITSM, GRC/SECOps, HRSD/CSM/ITOM/ITAM/SPM) in at least one speciality Multiple CIS highly preferred. Advanced knowledge of JavaScript, Flow Designer, and ServiceNow platform architecture. Experience with web technologies (XML, HTML, Angular JS, Web Services, etc.) Knowledge of technical components such as LDAP, VPN, SSL, API usage, etc. Experience with multiple ServiceNow Implementations in various industries Proven experience delivering solutions across multiple ServiceNow modules. Knowledge, Skills, Abilities, and Responsibilities Extensive expertise in ServiceNow modules: ITSMIncident, Problem, Change, Knowledge, Request Management. GRCRisk assessments, policy and compliance management, and audit trails. SECOps: Security Incident Response (SIR)Automate, track, and manage security incidents. Threat Intelligence IntegrationAutomate ingestion and correlation of threat data from external feeds. Vulnerability ManagementImplement workflows for identifying and remediating vulnerabilities. OrchestrationAutomate routine security tasks with playbooks and workflows. Event and SIEM IntegrationEnable seamless integration with Splunk, QRadar, or other SIEM tools for event correlation. Security DashboardingDevelop real-time security dashboards to provide actionable insights. HRSDEmployee onboarding, lifecycle events, case and knowledge management. CSMCase management, customer portals, and service workflows. SPMPortfolio management, resource planning, and demand management. ITOMDiscovery, Service Mapping, Event Management, and Cloud Management. ITAMAsset lifecycle management for HAM and SAM. Strong understanding of CMDB best practices and configuration management. Experience in integrating ServiceNow with third-party platforms using REST/SOAP APIs and other techniques. Expertise in ServiceNow customizations, including: UI Policies, Client Scripts, Workflows, UI Actions, Business Rules, and Script Includes. Hands-on experience with web-based languages: JavaScript, CSS, Jelly, XML, HTML, and Glide. Proven ability to manage and deliver complex implementations. Strong knowledge of ITIL best practices and process alignment. Excellent leadership, communication, and collaboration skills.

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Google Cloud Platform Architecture Good to have skills : Microsoft Azure ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. 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 ensure seamless migration processes.- Analyze and optimize existing cloud architectures for improved performance and cost-efficiency.- Design and architect cloud infrastructure solutions using Infrastructure as Code (IaC) and Policy as Code (PaC) principles- Develop and implement strategies for secure and scalable cloud environments, leveraging DevSecOps practices- Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud infrastructure- Create and maintain automated deployment pipelines for cloud resources using tools like Terraform and Ansible- Define and enforce policies for cloud resource management and security using tools like Sentinel- Conduct regular assessments of cloud infrastructure to ensure compliance with security standards and best practices- Stay updated with the latest cloud technologies, trends, and best practices to continuously improve infrastructure design and implementation Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Microsoft Azure Architecture.- Strong understanding of cloud migration strategies and best practices.- Familiarity with infrastructure as code tools and automation frameworks.- Experience in assessing and optimizing cloud resource utilization.- Strong understanding of Infrastructure as Code (IaC) and Policy as Code (PaC) concepts- Proficiency in cloud platforms (esp. Azure, GCP) and containerization technologies (Docker, Kubernetes)- Experience with DevSecOps practices and tools- Experience with security and compliance standards in cloud environments.- Knowledge of automation and orchestration tools Additional Information:- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.- Proven experience (min. 3 years) in cloud infrastructure architecture and design- This position is based at our Hyderabad office.- A 15 years full time education is required.- Certification in cloud technologies (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert) 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 3 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 servicesDevelop 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 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, - 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. 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

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

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

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

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

Project Role : 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 : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data platform blueprint and design- Implement data platform components- Ensure seamless integration between systems and data models Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of data platform architecture- Experience in data modeling and integration- Knowledge of cloud-based data solutions- Hands-on experience with data platform implementation Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : 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 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

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : ServiceNow IT Operations Management Good to have skills : ServiceNow IT Service ManagementMinimum 5 year(s) of experience is required Educational Qualification : Bachelors Degree in Computer Science or IT or Engineering or related field Additional InformationMandatory Certified ServiceNow ITSM FundamentalsOptional Certified ServiceNow ITOM or GRC ITAM Summary :As an Application Designer for Cloud Migration & Implementation, you will be responsible for assisting in defining requirements and designing applications to meet business process and application requirements using ServiceNow IT Operations Management. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and designing solutions to meet those requirements. Roles & Responsibilities:- Collaborate with cross-functional teams to analyze business requirements and design solutions using ServiceNow IT Operations Management.- Assist in defining requirements and designing applications to meet business process and application requirements.- Develop and maintain technical documentation related to application design and development.- Provide technical guidance and support to development teams during the implementation phase. Professional & Technical Skills: - Must To Have Skills: Strong experience in ServiceNow IT Operations Management.- Good To Have Skills: Experience in ServiceNow IT Service Management.- Experience in designing and developing applications using ServiceNow IT Operations Management.- Strong understanding of ITIL processes and ServiceNow platform architecture.- Experience in integrating ServiceNow with other third-party systems.- Experience in developing custom ServiceNow workflows and business rules. Additional Information:- The candidate should have a minimum of 5 years of experience in ServiceNow IT Operations Management.- This position is based at our Bengaluru office. Qualification Bachelors Degree in Computer Science or IT or Engineering or related field Additional InformationMandatory Certified ServiceNow ITSM FundamentalsOptional Certified ServiceNow ITOM or GRC ITAM

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