112 Pde Jobs - Page 5

Job ID: 766 Location: Hybrid, Gurgaon, Haryana, IN Job Family: Research and Development Job Type: Permanent Employment Type: Full Time About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose The Vehicle Integration Engineer is responsible for ensuring the seamless integration of mechanical systems within the vehicle architecture. This role involves collaborating with cross-functional teams to ensure that all mechanical components function cohesively, meeting design, safety, and regulatory standards. Position is part of CP&HF team PDE team at ITC and requires close collaboration with Global & Local peers, Global & Local leaders to deliver value output. Nature of work shall be predominantly Mechanical engineering across new product development and Current Product Engineering focused towards functional & structural design & optimization, Issue resolution & build/testing support, VA/VE aspects etc. Key Responsibilities Develop and lead 3D mechanical subsystem layout and integration to machine. Conducting initial layout study, packaging and fit check between components Develop and lead DMU models and checking for clearance/clash/fit issues/manufacturability or assembly issues and developing solution around the same Conduct packaging studies and geometric analyses to optimize component placement and ensure clearance. Identify and resolve mechanical integration issues through root cause analysis and the development of effective solutions. Collaborate with design, engineering, and manufacturing teams to ensure design for assembly and manufacturability. Responsible for making Package Assembly models and assembly drawing in CREO as per CNH standards. Accountable for Delivering Functional & Technical design solution through regular design reviews onto On-going design & Development projects, field/build issue resolution, design optimization/standardization, ensure high quality deliverable and on time delivery. Collaborating with the global team for built issues resolution. Support the Vehicle architect in packaging of vehicle subsystem including Powertrain, Chassis, Cab system, Body shields and closures. Knowledge of applicable industry regulations and standards. Conduct structural FEA analysis, design verification, and validation. Manage multiple projects simultaneously, ensuring timely delivery and adherence to budget. Coordinate with cross-functional teams including system engineering, NPI, purchasing, quality, and supply chain team Stay updated with the latest industry trends and technologies. All designs should be stored on a regular basis in Team Center and all release steps should be used. Contribute to developing best practices for Vehicle integration within team and across platforms. Experience Required A minimum of 10 years of relevant experience in vehicle Integration and packaging of subsystems, assemblies to vehicle. Experience in conducting feasibility study of initial layout. Experience in Vehicle Integration and Packaging of mechanical subsystems to Vehicle. Experience in creating and maintaining BOM throughout the product lifecycle. Knowledge and experience of sheet metal parts manufacturing and design. Experience in DFA, DFM, DFS, DFMEA. Experience in GD&T and tolerance stack up analysis. Knowledge and experience in design and development of plastic components- body shields, inner shell, trims. Experience in developing plastic trims from styling surface and layout and interference and clash check and resolution Knowledge around the manufacturing, costing of plastic shields and panels would be an added advantage. Knowledge and experience of Casting and forging design and development parts will be preferred. Experience in force analysis, strength calculations and mechanism analysis. Knowledge/Experience in Welding and Fabrication design. Should have experience in plant built and field issues resolution. Good Knowledge of Creo 3D software (any other 3D software) with Solid modelling, Assembly, Drafting, Sheetmetal module expertise. Knowledge of Product Lifecyle management related tools. Experience with Teamcenter added advantage. Knowledge of FEA software and tools would be an added advantage. Well versed with the development schedule and milestones from concept till launch to market Ability to work independently with minimal guidance and can communicate with global teams. Attention to detail ensuring error free delivery to stakeholders Preferred Qualifications BE/BTech or ME/MTech in Mechanical, Agricultural Engineering or equivalent What We Offer We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect. At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including: Flexible work arrangements Savings & Retirement benefits Tuition reimbursement Parental leave Adoption assistance Fertility & Family building support Employee Assistance Programs Charitable contribution matching and Volunteer Time Off

A PDE (Performance, Design, and Engineering) Engineer at GE Hydro is a technical specialist responsible for analyzing, optimizing, and improving the performance of hydroelectric turbine and generator components throughout their lifecycle, focusing on design modifications, operational efficiency, and troubleshooting to maximize energy production and reliability within the constraints of existing equipment and site conditions. Key responsibilities of a PDE Engineer at GE Hydro might include: Performance analysis: Utilizing data from field monitoring systems to assess turbine and generator performance, identifying areas for improvement through detailed analysis of efficiency curves, power output, and cavitation characteristics. Design optimization: Proposing design changes to existing components like blades, runners, stators, and excitation systems based on performance analysis to enhance efficiency and reduce losses. Troubleshooting and root cause analysis: Investigating performance issues reported from operating plants, identifying root causes, and recommending corrective actions including repairs or component replacements. Field testing and validation: Participating in on-site testing and commissioning activities to verify design changes and performance improvements Technical support: Providing technical expertise to customers regarding plant operations, maintenance, and upgrade opportunities Life cycle management: Assessing the long-term performance of hydro equipment, identifying potential degradation mechanisms, and proposing refurbishment or upgrade strategies Collaboration with other teams: Working closely with project engineers, sales teams, and manufacturing teams to ensure seamless integration of design changes and optimal project execution Required skills and qualifications for a PDE Engineer Strong understanding of hydro turbine and generator design principles, including fluid dynamics, thermodynamics, and electromechanical systems Experience with performance analysis tools and software for evaluating turbine and generator data Proficiency in 3D modeling and design software for component analysis and optimization Excellent analytical and problem-solving skills to diagnose performance issues and propose solutions Ability to work effectively in a team environment and collaborate with diverse stakeholders Strong communication skills to effectively present technical findings and recommendations to customers Field experience in hydro power plants is a plus Outcomes: Guide the team members mentor junior designers and drive team effort towards a common goal Independently handle a new project and resolve technical issues at a project level Conduct root cause analysis and present findings Understand Phantom BOM for product Understand workload customer requirements and estimate effort Handle project management activities - project plan and estimation Handle and educate team on ISO and QC Audit Interface with the customer and act as a bridge between the employees and the project manager. Understand larger product perspective; identify new business opportunities and present new concepts to customers Electrical:a. Development of wire harness routing designs in 3D which includes ensuring secure routing of harness to corresponding connectors.b. Development of 2D wire harness drawings conforming with customer requirements and industrial drafting standards.c. Design of hardware fixation components such as brackets clips and mounting points using 3D modelling moduled. Review and understand device and component technical datasheets.e. Conduct detailed Study and Analysis for Project Scope Methodology Estimation and Delivery schedule preparation.a. Create and understand schematic drawing and creation Mechanical:a. Hydraulic Design: Design of Hydraulic systems Selection of Hydraulic components and fittings Hydraulic routings using Pro-E Wildfireb. Structural Design: Design of structural members bearings gearing heat transfer and engine related equipment machined parts castings and weld fabrications.c. Component Design: Design test analyse machined parts castings weld fabrications and other components of mechanical systems and processesd. FEA: Perform calculations to analyse structural integrity system loads and fatigue life using thorough knowledge of finite element analysise. Weld Design: Design test and analyse weldments and welding structural components.f. Vehicle Integration and Assembly: Contribute to Mechanical/ Electrical integration as a part of vehicle integrationg. Compute and estimate loading on structural members air/hydraulic flow velocity rates cylinder speeds steering system calculations pump inlet conditions and heat transfer calculations on air/hydraulic/fuel systems Measures of Outcomes: Customer Satisfaction Based on feedback from customer Adherence to schedule / timelines Adherence to SLAs where applicable Number of defects post delivery Number of non-compliance issues Percent reduction of reoccurrence in known defects Defined productivity standards for project Completion of all mandatory training requirements Outputs Expected: Design: Understand the design requirements Sheet metal design guidelines Stack-up analysis Weldment Mining Design guidelines Electrical component selection Hydraulic Fitting selection Casting Knowledge Large assembly management as well as schematic diagrams for Electrical and Mechanical Errors: Identify analyse and rectify drawing errors technical errors PLM & PDM errors and model errors Document: Create documentation for one's own work Input output folder maintenance Status update in Project tracker Comply with project related reporting standards/process Design review presentation Review updated log Maintain documents for audit purposes Manage knowledge: Create/model procedures documents Checklist Model QC workflow etc. PLM & PDM: Adhere to PLM & PDM process Requirement Analysis: Understand the inputs client expectations and work scope Learning and Growth: Improve domain competency Improve soft skill competency by attending trainings and webinars. Team Management: Mentor manage and guide the team towards the common project goal Manage resource swap to meet project deadlines Manage team in absence of Manager. Skill Examples: Ability to explain and communicate the design / development to the mentors/leads Ability to perform interference check against top level assembly Ability to create harness drawing wire table and electrical components selection Ability to manage and guarantee high levels of cohesion and quality Ability to perform and evaluate new design using FEA and calculated by hand Good written and verbal communication abilities Proactively seek help wherever it is required Ability to work in a team Ability to think analytically and conceptually Knowledge Examples: Appropriate 3D Software Modules GD&T Stack-up analysis for new design DFMEA Value Analysis-Value Engineering to reduce product cost. Knowledge about customer domain and sub domain Prior experience with documentation and specific definition of system specifications. Domain knowledge of Off High-way mining equipment Electro-mechanical Automotive Casting Plastic Semiconductor Medical Aerospace Heavy machinery. Proficiency in Creo Cabling Piping Sheet metal Auto CAD FEA Part modelling Casting Electrical Schematic Drawing MBA (Model Based Assembly or Paperless drawing). Root cause analysis. PUGH matrix. Structural analysis FEA etc. Additional Comments: Must Have "Generator Auxilaries Design (Cooling Systems (air, water, or oil-cooled) Lubrication Systems (oil supply to bearings and moving parts) Excitation Systems (static and brushless excitation for voltage regulation) Monitoring and Protection Systems (temperature, vibration, and electrical fault monitoring) Control Systems (SCADA, PLC-based automation)) and Hydro Turbines ( Pelton Turbines (for high head applications) Francis Turbines (medium head, high efficiency) Kaplan Turbines (low head, adjustable blades for variable loads) Bulb and Propeller Turbines (for very low head applications)" Good to Have 3D Modeling & Parametric Design Sheet Metal & Surface Modeling Drafting & GD&T BOMs (Bill of Materials) Skills Generator Auxillary Systems,NX CAD,PDE,Hydraulic

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

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 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 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 Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education 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 15 years full time education