167 Ai Platform Jobs - Page 7

Hi Everyone Greetings from Intuition IT Global Recruitment Firm We hav an Exciting Job opportunity for Devops with AI Platform and Data science with our leading Client Location PAN India (Remote) Job Type: Long term Contract Job Description : Support Platform which offers infrastructure to Data science/Data Analytics/MLOps teams Resolution of issues for provisioning of new use cases in AI Platform Resolution of incidents and services requests related to AI Platform Collaborate with IAM teams for accounts provisioning Co-ordinate with other teams from Platform - AWS, Snowflake, Data bricks etc Monitor CI/CD pipelines in AI Platform Proficient in tools like AWS ( IAM, S3, EKS, SAGEMAKER, ACM, ECR, RDS, Secrets Manager, Lambda, Step Functions) DevOps tools - Jenkins, Bitbucket, Jfrog, SonarQube, Checkmarx, Kubernetes, Docker etc responsibilities Please share cv to this email id : maheshwari.p@intuition-IT.com Preferred candidate profile

Job purpose: The AI Platform Lead is responsible for overseeing and driving the evolution and operational excellence of the AI Platform with Company. This role will manage key systems such as Dataiku, Azure ML and Azure AI Services, ensuring they deliver scalable, robust, and innovative solutions to support enterprise initiatives. The successful candidate will combine technical expertise with effective leadership to foster an environment of continuous improvement and collaboration. Reporting lines and interactions: Operationally reports: Head of Data and Platforms Main stakeholders and interactions: Head of AI & Automation Hub BI / AI Platforms Manager Business Users and requestors Data & Solution architects Job scope: Key Responsibilities Platform Management : Supervise Platforms operations, maintenance of Dataiku and Azure components. Ensure high availability, performance, and scalability of different AI services. Suggest architecture evolutions to enhance system efficiency and accommodate business strategy Cloud Infrastructure Supervision : Oversee the maintenance and optimization of the Azure cloud infrastructure, ensuring robust security, reliability, and scalability. Supervise the AI platform's performance, implementing proactive measures to prevent downtime in the services and ensure seamless operation. Collaborate with cross-functional teams to align infrastructure improvements with business goals and technological advancements. Operational Excellence : Establish and enforce best practices, governance policies, and security standards across all AI operations. Monitor platform usage, performance metrics, and cost-effectiveness to drive continuous improvement. Evaluation of Emerging AI Services : Continuously review and assess new AI services and technologies that may be required for future projects. Ensure the integration of innovative solutions to enhance the platform's capabilities and support evolving business needs. Team Leadership & Collaboration : Guide a diverse team comprising DevOps, Dataiku Administrators, MLOps specialists, analysts and Run Team. Cultivate a cooperative atmosphere that promotes innovation and the sharing of ideas. Budget and Cost Management : Handle budgeting and cost management for AI Platform, ensuring efficient resource allocation and adherence to budget constraints. Reporting : Provide regular updates to the Head of Data and Platforms on Platform status, risks, and resource needs. Profile: Requirements: - Proven track record with more than 5 years of experience in AI/ML platform management or similar roles - Strong knowledge of machine learning, data analytics, and cloud computing - Extensive hands-on experience with technologies such as Dataiku, Azure ML, Azure AI Foundry, and related systems - Well-versed in agile methodologies, DevOps practices, and CI/CD pipeline management - Ability to manage multiple priorities in a fast-paced, dynamic environment - Skilled in leading cross-functional teams and executing large-scale technology initiatives - Skills and experience in Agile methodologies is a plus Additional attributes: - A proactive mindset with a focus on leveraging AI to drive business value - Experience with budget oversight and resource allocation - Knowledge of software development lifecycle and agile methodologies Work experience: Minimum of 5 years in AI/ML Platform management or related fields Minimum education level: Advanced degree (Masters or PhD preferred) in Computer Science, Data Science, Engineering, or a related field.

Requirements and skills Must have 4+ years of experience in Python development of services and/or applications where Python was used as the core programming 3+ years of professional experience with cloud technologies (AWS, GCP, Azure), AWS preferred Proven work experience as a Software Developer with GenAI skills Software development experience with NodeJS development, GitLab CI/CD, as well as queuing approaches and solutions Experience with document parsing into RAG GPT solutions and story estimation Comprehensive understanding of natural language processing, machine learning and AI-generated content development Excellent problem-solving and analytical skills Ability to collaborate effectively with cross-functional teams Experience using large language models, Langchain, Langgraph, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML), AWS preferred Experience in model development/fine-tuning and integration of LLMs to broader application workflows Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation A creative approach to problem-solving using the latest AI technology SW development experience and able to apply GenAI services to build business applications Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) Experience in production model management Knowledge of Unit Testing, automated testing and monitoring solutions Contributions to open-source projects A true passion for AI Relevant training and/or certifications in computer science, AI or a related field Strong verbal and written communication skills

Role: Gen AI Engineer Experience: 8yr to 15 yr Location: PAN India Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Roles and Responsibilities Design, develop, test, and maintain backend systems using Python and other technologies. Develop algorithms for data processing and analysis using open APIs and Langchain. Ensure system architecture meets performance, scalability, and reliability standards. Collaborate with cross-functional teams to identify requirements and implement solutions. Troubleshoot issues related to system design and implementation. Desired Candidate Profile 2-7 years of experience in software development with a focus on backend engineering. B.Tech/B.E. degree from any specialization (preferred). Strong understanding of algorithm development, problem-solving skills, teamwork abilities, and proficiency in Open API.

Job Title: Full Stack AI Engineer Job Type: Full Time, Onsite Location: Noida & Chandigarh India Years of Experience: 4+ Years Job Description -The Senior Full Stack AI Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. -Deep understanding of Python programming and familiarity with additional languages like Java and .NET. Extensive knowledge of NoSQL and SQL databases, with significant experience in Microsoft Azure, particularly Cosmos DB. -Comprehensive understanding of microservices architecture and best practices in software development. -Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Full-stack development capabilities, including front-end UI/UX development using React. Technical Skills (Mandatory) Python Programming: Python Libraries, Frameworks, Testing and Debugging (Expert) Database Management: NoSQL Databases, SQL Databases, Data Modeling (Advanced) Microsoft Azure: Azure Functions, Azure SQL Database, Azure DevOps (Advanced) Microservices Architecture: Service Mesh, Containerization, API Gateway (Advanced) Generative AI Models: Machine Learning, Natural Language Processing, AI Ethics (Advanced) API Development: RESTful APIs, GraphQL, API Security (Advanced) XML Data Formatting: XML Parsing, XML Schema, XML Transformation (Advanced) Front End Development: HTML/CSS/JavaScript, Responsive Design, React.js (Advanced) UI/UX Development: User-Centered Design, Wireframing, Prototyping (Advanced) Roles and Responsibilities - Design, develop, and maintain high-quality Python applications. -Demonstrate expertise in working with both NoSQL and SQL databases. -Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. -Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. -Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. -Operate within Agile teams, applying Agile methodologies. -Enhance user experience by creating intuitive user interfaces from Figma mockups. Required Education Bachelor's degree in Computer Science, Information Technology, or a related field. Certifications (Good to Have) Certified Python Developer Microsoft Certified: Azure Developer Associate Functional Skills (Mandatory) Reasoning Ability: Analytical Thinking, Problem Solving, Decision Making (Expert) Communication Skills: Stakeholder Engagement, Clarity in Expression, Technical Writing (Expert) Attention to Detail: Precision, Thoroughness, Quality Assurance (Expert) Proactive Engagement: Initiative, Anticipation of Needs, Self-Motivation (Expert) Agile Methodologies: Scrum, Kanban, Continuous Integration/Continuous Deployment (Advanced) Team Collaboration: Teamwork, Cross-Functional Collaboration, Collective Problem Solving (Advanced) Industry Name: Professional, Scientific, and Technical Services Keywords: IT Services, Software Development, Technology Solutions, Consulting, Engineering, R&D, Technical Support, Systems Integration, Cloud Computing, Data Management Languages English: Fluent (Mandatory) Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

Lead generative AI business automation solutions. Integrate AI for automated invoicing & logistics. Assist with .NET code for case management system development. Develop webpages (landing pages). Create promotional image & structural designs. Required Candidate profile AI Architect: Azure/Google AI, document/multi-modal/image analysis. RAG pipelines, prompt engineering. Collaborates on scalable AI. Integrates proprietary tools. API mgmt (Apigee), security/governance

Job Title: Full Stack AI Engineer Job Type: Full Time, Onsite Location: Noida, India Years of Experience: 4+ Years Job Description -The Senior Full Stack AI Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. -Deep understanding of Python programming and familiarity with additional languages like Java and .NET. Extensive knowledge of NoSQL and SQL databases, with significant experience in Microsoft Azure, particularly Cosmos DB. -Comprehensive understanding of microservices architecture and best practices in software development. -Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Full-stack development capabilities, including front-end UI/UX development using React. Technical Skills (Mandatory) Python Programming: Python Libraries, Frameworks, Testing and Debugging (Expert) Database Management: NoSQL Databases, SQL Databases, Data Modeling (Advanced) Microsoft Azure: Azure Functions, Azure SQL Database, Azure DevOps (Advanced) Microservices Architecture: Service Mesh, Containerization, API Gateway (Advanced) Generative AI Models: Machine Learning, Natural Language Processing, AI Ethics (Advanced) API Development: RESTful APIs, GraphQL, API Security (Advanced) XML Data Formatting: XML Parsing, XML Schema, XML Transformation (Advanced) Front End Development: HTML/CSS/JavaScript, Responsive Design, React.js (Advanced) UI/UX Development: User-Centered Design, Wireframing, Prototyping (Advanced) Roles and Responsibilities - Design, develop, and maintain high-quality Python applications. -Demonstrate expertise in working with both NoSQL and SQL databases. -Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. -Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. -Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. -Operate within Agile teams, applying Agile methodologies. -Enhance user experience by creating intuitive user interfaces from Figma mockups. Required Education Bachelor's degree in Computer Science, Information Technology, or a related field. Certifications (Good to Have) Certified Python Developer Microsoft Certified: Azure Developer Associate Functional Skills (Mandatory) Reasoning Ability: Analytical Thinking, Problem Solving, Decision Making (Expert) Communication Skills: Stakeholder Engagement, Clarity in Expression, Technical Writing (Expert) Attention to Detail: Precision, Thoroughness, Quality Assurance (Expert) Proactive Engagement: Initiative, Anticipation of Needs, Self-Motivation (Expert) Agile Methodologies: Scrum, Kanban, Continuous Integration/Continuous Deployment (Advanced) Team Collaboration: Teamwork, Cross-Functional Collaboration, Collective Problem Solving (Advanced) Industry Name: Professional, Scientific, and Technical Services Keywords: IT Services, Software Development, Technology Solutions, Consulting, Engineering, R&D, Technical Support, Systems Integration, Cloud Computing, Data Management Languages English: Fluent (Mandatory) Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- GN Data &AI CMT (Communication, Media & Technology) Title :- Ind & Func AI Value Strategy Associate Manager Job location : Bangalore / Hyderabad / Pune / Gurugram About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. What's in it for you? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master's degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 8 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.

Job Title:GN - SC&O - S&P –Data and AI - Consultant Management Level:09 - Consultant Location:Bengaluru Must have skills:Sourcing and Procurement, Supply Chain Management Good to have skills:Data Science Find endless opportunities to solve our clients toughest challenges, as you work with exceptional people, the latest technologies, and leading companies across industries. Practice: Supply Chain and Operations, Industry Consulting, Global Network I Areas of Work: Sourcing and Procurement | Level: Consultant | Location: Gurgaon, Delhi, Mumbai, Bangalore | Years of Exp: 4+ years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Strategy and Consulting Global Network SC&O is the right place for you to explore limitless possibilities. As a part of our SC&O Sourcing and Procurement practice, you will help organizations reimagine and transform their procurement strategies for tomorrow"”with a positive impact on the business, society and the planet. This includes leveraging AI for spend analysis, supplier negotiations, demand forecasting, and procurement process automation to achieve cost savings, operational efficiencies, and enhanced supplier collaboration. Job Summary : We are seeking a seasoned Consultant with strong expertise in Sourcing & Procurement (S&P) to join our Data & AI Center of Excellence (CoE) . This role is ideal for someone who has led procurement transformation initiatives and is also passionate about harnessing the power of Data, AI, and Generative AI (GenAI) to reimagine the future of procurement. The ideal candidate will bring deep domain knowledge in S&P"”across areas such as spend analytics, supplier negotiations, demand forecasting, and procurement operations"”combined with a strong understanding of how emerging AI technologies can unlock new efficiencies and insights. You will play a key role in identifying high-impact use cases, shaping digital strategies, and contributing to innovative GenAI-powered solutions tailored for procurement functions. This is a unique opportunity to blend hands-on consulting experience with future-focused innovation. Roles & Responsibilities: Together, let's innovate, build competitive advantage, and improve business and societal outcomes in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and more resilient through the following initiatives: Deliver Sourcing and Procurement (S&P) consulting engagements in areas such as strategic cost reduction, sourcing optimization, procurement transformation, and intelligent procurement using tools like Coupa, Ivalua, Zycus, and Jaggaer . Lead or support key activities including: Implementation of procurement solutions:requirements gathering, technical design, solution configuration, testing, and user training. Engaging in business process and requirement discussions with clients to design effective, value-driven solutions. Leveraging capabilities within leading eProcurement platforms to design scalable, efficient Source-to-Pay (S2P) solutions. Estimating project scope and resource needs for complex implementations. Identifying and defining relevant KPIs/metrics to measure and track transformation impact. Delivering project outcomes aligned with client expectations and timelines. Managing key stakeholder relationships and facilitating change management. Support business development initiatives:proposal responses, product demos, roadshows, internal asset creation, and thought leadership. Drive innovation at the intersection of S&P and GenAI by: Identifying high-impact use cases for Generative AI in procurement and Supporting the development of GenAI roadmaps and business cases for clients, highlighting ROI and operational efficiencies. Collaborating with technical and data science teams to conceptualize, design, and pilot GenAI solutions tailored to procurement challenges. Staying abreast of advancements in GenAI and identifying trends, tools, and technologies that can enhance procurement transformation efforts. Contributing to internal innovation efforts around GenAI accelerators , demos, and reusable assets for the S&P function. Professional & Technical Skills: Ability to define and execute end-to-end Source to Pay processes including category management & procurement analytics, supplier management, sourcing, contracts, order/goods, receipt/invoice management Ability to develop business case for procurement transformation initiatives such as implementation of source-to-pay solutions (e.g., Coupa, Ivalua, Zycus, Jaggaer and so on) Solid understanding or practical exposure to Data Analytics, AI, and Generative AI , with the ability to spot opportunities for digital enablement in procurement. Excellent data analytics and data interpretation and presentation skills Ability to solve complex business problems and deliver client delight Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Additional Information Bachelors/ Masters degree in computer science, Data Science, Business Administration, or a related field. Engineering degree (preferred). Good understanding of sourcing and procurement fundamentals coupled with 2-4 years of consulting and industry experience in Sourcing and Procurement across the following:implementation of procurement solutions, eProcurement digitization, intelligent procurement, etc. Experience with digital sourcing and procurement solutions such as Coupa, IVALUA, Zycus, Jaggaer, GEP and so on - either in implementations or as an end user Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Experience in a consulting firm and global exposure is desirable Knowledge of ERP systems such as SAP, Oracle would be an additional advantage About Our Company | Accenture Qualification Experience:4+ years Educational Qualification:Master’s Degree (Bachelors/ Masters degree in computer science, Data Science, Business Administration, or a related field. Engineering degree (preferred).

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 Qualification 15 years full time education

Role: CCAI Development Fulltime (Work from office Mon-Fri) Location: Hyderabad Dialogflow, CCAI Development, Conversation design, Python,QA. CI/CD, You will be responsible for leading the technical vision, architecture, and development of conversational AI applications that leverage natural language understanding, speech synthesis, and generative models. Define and execute the technical strategy and roadmap for Google Cloud Contact Center AI and Generative AI projects. Design and develop conversational AI applications using Google Cloud products such as Dialogflow, CCAI Agent Assist, CCAI Insights, Speech-to-Text, Text-to-Speech, and CCAI Platform

Responsibilities: *Design & deliver AI training program *Collaborate with stakeholder on AI strategy development *Measure effectiveness through analytic *Stay updated with emerging AI trends & technologies *Conduct hands-on labs & real-time project

About Creatrix Campus Creatrix Campus is a next-generation SaaS platform purpose-built for higher education. With a growing customer base across the USA, UAE, Malaysia, and beyond, Creatrix simplifies operations for universities through AI, automation, and low-code/no-code configurability. Were scaling rapidly and building an architecture-first culture that values performance, reusability, and product innovation. Role Summary: We are seeking a Business Analyst with strong product sense and AI fluency to join our Product Solution Department. You will work closely with Product Owners, Clients, and Engineering teams to define scalable, configurable, and AI-augmented solutions for higher education. You wont be expected to build AI models, but you must be able to leverage AI in your daily work and stay current on trends that affect EdTech. Key Responsibilities: Product & Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation & Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flow Assist in training, adoption material creation, and onboarding guides Required Skills & Qualifications: Domain & Experience 3 - 6 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student Lifecycle) Strong understanding of modular SaaS architecture , workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering , or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics , etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical & Tooling Skills Tools: Jira, Confluence, Luci chart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Project Any AI certifications (e.g., Prompt Engineering, AI Product Management)

Job Title: Staff Software Engineer(Lead Data Scientist) Locations: Bangalore / Ahmedabad / Pune - (Remote) Reports to: Director, Software Engineering A quick snapshot We are looking for a talented Staff Software Engineer/Lead Data Scientist to help us build the next-gen Conga products. You will act as a subject matter expert as this will pertain to building architecture and working with cross-functional teams to help resolve issues. Working closely with senior stakeholders to understand business requirements and help them translate these into technical requirements for the development team. The Platform Services team is a tightly integrated team serving the foundational platform components of Conga products. We architect, build, run, and support all the internal systems and services that run Cloud Revenue Lifecycle Management. Why its a big deal This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions. Are you the person were looking for? Related Experience . You should have 8+ years of Hands-On experience in the development of AI models, writing codes, building algorithms, and deploying models into production environments. Your experience with NLP, Generative AI, fine-tuned LLMs and LM models like GPT 4, Llama, BERT etc. and experience in building RAG pipelines is highly desired for this role• you should have experience with deep learning models, recommendation engines. It would be great to have exposure to Agentic AI models like Semantic Kernel/Lang Graph, usage of CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployment (Azure/AWS/GCP). Component and Service Design: You should be able to design and build reusable components, microservices, and APIs that can be leveraged across multiple AI projects within Conga. Developing and maintaining libraries of reusable codes, tools, and templates that accelerate AI development is necessary. You must ensure that all components are built for integration with existing systems, supporting seamless data flow and interoperability and to be able to communicate complex technical concepts to stakeholders, ensuring that they understand the capabilities and limitations of AI technologies. Deployment Tools. You should possess hands-on experience working with containers and Kubernetes and Demonstrate success executing development work within an Agile environment. Agile Development and Planning. You would be a part of the agile team, which includes design, development, testing, planning, backlog grooming, and support during the project lifecycle. You will work with product owners and architects to understand detailed requirements and own the code from design, and development to test automation. AWS or Azure Cloud . You should be proficient with cloud architecture, cloud design patterns, and AWS or Azure cloud technologies. Education. A bachelors degree in engineering or equivalent. Heres what will give you an edge Effective communication and interpersonal skills. Youre comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. Initiative. You do not wait around for things to happen or for your manager to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if its outside your scope of work -- you put a proposal together, talk to the team about it, and own it . And that also goes back to having an entrepreneurial spirit. Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. Did we pique your interest? If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! Dont meet every requirement for the role? Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga, we are dedicated to building a diverse, inclusive, and authentic workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - 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 AI-driven solutions.