24 Azure Ai Jobs

Role & responsibilities: Looking for 5 to 8 years experience of ML Engineer with strong Azure Cloud DevOps with even stronger DABs DevOps skills with even stronger DABs Databricks Asset Bundles implementation knowledge. 1 Azure Cloud Engineer 2 Azure DevOps CICD experienced in DABs 3 ML Engineer for deployment Translate business requirement into technical solution Implementation of MLOPS Scalable solution using AIML and reduce the risk of Fraud and other fiscal crisis Creating MLOPS Architecture and implementing it for multiple models in a scalable and automated way Designing and implementing end to end ML solutions Operationalize and monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Data Science quality assurance and testing Collaborate with data scientists engineers and other key stakeholders Preferred candidate profile: Azure Cloud Engineering Design implement and manage scalable cloud infrastructure on Microsoft Azure Ensure high availability performance and security of cloud based applications Collaborate with cross functional teams to define and implement cloud solutions Azure DevOps CICD Develop and maintain CICD pipelines using Azure DevOps Automate deployment processes to ensure efficient and reliable software delivery Monitor and troubleshoot CICD pipelines to ensure smooth operation DABs Databricks Asset Bundles Implementation Lead the implementation and management of Databricks Asset Bundles Optimize data workflows and ensure seamless integration with existing systems Provide expertise in DABs to enhance data processing and analytics capabilities Machine Learning Deployment Deploy machine learning models into production environments Monitor and maintain ML models to ensure optimal performance Collaborate with data scientists and engineers to integrate ML solutions into applications.

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

Working knowledge of Azure AI Working knowledge of LLM , RAG- Data insights , Reasoning Agent , Chain of thought Knowledge of Graph DB , COSMOS DB , Neo4j Prompt engineering API building Domain knowledge in Finance , data management Should have worked on enterprise AI use cases and one go live solution.

Req ID: 329815 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DOT NET Full Stack + Azure Developer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Experience: 10 to 12 years Responsibilities: Design and architect web applications using ASP.NET Core 6 and C# for backend development. Develop single-page applications (SPAs) using React and Redux for frontend development. Implement unit testing frameworks such as xUnit for backend code and Jest for frontend code to ensure high-quality software. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Maintain code quality, organization, and automation. Provide technical leadership and mentoring to junior & senior developers. Stay updated with the latest industry trends and technologies. Required Skills: Proficiency in ASP.NET Core 6, C#, React, Redux, and Python. Strong experience with RESTful API design and implementation. Expertise in SQL Server and database management. Hands-on experience with Azure services including Azure Cognitive search, Azure Web App, Azure App Service, Azure Function App, Azure Application Insights, Azure Logic App, Azure Data Factory, Azure Search Service, Azure SQL, ADLS Gen2, Azure Storage Account, Azure Key Vault, API Connection, Alert Rules, and Azure AI. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Maersk is a global leader in integrated logistics, and we've been industry pioneers for over a century. Through innovation and transformation, we're redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning, and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. Position Summary: We are seeking a Data Analyst, Data Analytics , with strong proficiency in Power BI and Excel , and a solid understanding of AI tools , to join and lead our dynamic team. In this role, you will be responsible for analyzing complex datasets, generating accurate operational reports, and delivering actionable insights that inform strategic and tactical decision-making across the organization. You will also lead and mentor a team of data analysts, fostering collaboration and ensuring high-quality, impactful data solutions. You will work closely with cross-functional teams to drive data-driven decision-making and improve operational efficiencies. Key Responsibilities: Team Leadership & Mentorship: Lead, mentor, and guide a team of data analysts, fostering their growth and ensuring high performance. Oversee the team's workload, prioritize tasks, and ensure timely and accurate delivery of all analytical outputs. Promote a culture of continuous learning, collaboration, and data excellence within the team. Operational Reporting & Data Analysis: Oversee the collection, cleaning, and analysis of large datasets from various sources to deliver actionable insights. Ensure accurate understanding and reporting on operational metrics and business performance , highlighting trends, anomalies, and underlying causes. Review and refine interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs. Guide the development of Excel-based reports for data exploration, quick analyses, and business reviews. Power BI & Analytical Tools Implementation: Lead the design and implementation of Power BI solutions using Power Query, Power Pivot, and DAX, ensuring best practices. Collaborate strategically with stakeholders to tailor reports and dashboards to evolving business needs. Drive the adoption and usage of Power BI across departments by championing user-friendly and insightful visualizations and training initiatives. AI Tools & Advanced Analytics: Oversee the application of machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from complex datasets. Guide the development of predictive models to support forecasting, customer behavior analysis, or performance optimization. Champion the leverage of AI capabilities to enhance data interpretation and automate insight generation processes. Cross-Functional Collaboration & Strategic Support: Work closely with stakeholders from operations, marketing, finance, and other teams to translate complex business questions into robust analytical solutions . Provide strategic and operational support by delivering data in a format that is easy to understand, actionable, and drives tangible business outcomes. Data Governance & Quality Control: Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks across all analytical outputs. Lead efforts to maintain compliance with internal data governance and security standards. Continuous Improvement & Innovation: Continuously refine reporting systems and tools to improve accuracy, usability, and performance across the team. Stay up to date with the latest developments in Power BI, Excel, AI tools, and industry best practices, driving their adoption where beneficial. Required Skills and Qualifications: Experience: Proven experience in data analysis and operational reporting, with demonstrated leadership or team lead experience. Power BI & Excel Proficiency: Expert proficiency in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, VBA macros a plus). Analytical Mindset: Strong analytical mindset with exceptional attention to detail and accuracy in reporting. Data Handling: Skilled in working with and deriving meaningful insights from large, complex datasets. SQL Expertise: Strong experience in SQL for data extraction and transformation. Programming for Data Analysis: Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn). Communication: Effective communicator, able to present complex data clearly and compellingly to non-technical audiences, including senior leadership. Collaboration & Prioritization: Strong team player with the ability to work cross-functionally, manage multiple priorities, and delegate effectively. Preferred Qualifications: Exposure to machine learning frameworks and predictive analytics in a production environment. Understanding of data governance and data privacy principles, ideally in a global context. Prior experience leading or mentoring junior data analysts. Key Success Metrics: Timely and accurate delivery of operational and business-critical reports and insights. Clear, actionable data insights that consistently drive process improvements and better decision-making. Enhanced adoption and utilization of Power BI and Excel-based reporting tools across business units. Team performance, development, and retention. What We Offer: Maersk offers a tailored onboarding and induction program with access to a wide range of training schemes to support your continuous learning and development. Your success is important to us! You'll also receive an annual bonus based on company performance and access to a fantastic range of wellbeing, mental health support, and financial advice through our Employee Assistance Program. For eligible roles, we offer short-term incentives to recognize and reward outstanding results. While this role is advertised as full-time, we're happy to discuss flexible working options to find a solution that works for you.

We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. AI Engineer Role & responsibilities Preferred candidate profile

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

• Professional experience in AI, with a focus on Microsoft CoPilot and Copilot Studio. • Hands-on experience with AI development platforms, including Power Platform, Microsoft Azure AI and other AI-related tools.

We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment and be experts in Microsoft CoPilot and related technologies. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Key Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly

Tech Leader Own end-to-end product lifecycle: requirements, development, QA, DevOps Design and drive enterprise-grade architecture on Microsoft Azure, leveraging Azure AI Foundry and Power Platform. .NET, C#, Azure DevOps US, UK, UAE, and India Required Candidate profile experience in Microsoft stack (.NET, C#, Power Platform, Azure DevOps). knowledge of Azure AI services, Azure AI Foundry, and integration managing infrastructure (IaaS/PaaS/SaaS) across global region

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.

Role & responsibilities As a member of the RMT (CRM) team, you will be responsible for implementing AI-driven solutions across EMEA and APJ, enhancing existing capabilities, and supporting rollouts to new business areas. Your role will involve collaborating with stakeholders to design, develop, and optimize AI-powered CRM solutions that drive efficiency and innovation. You will play a key part in ensuring seamless integration, continuous improvement, and scalability of AI solutions within the organization. Responsibilities: The main focus will be supporting new rollouts of the solution in different areas of business via customizing, new enhancements and developments Gather requirements for development of API/Webservices Develop UI screen and logics Build AI driven solutions Support automation and orchestration scenarios Some tasks will also involve supporting the rollout implementation of the current solution / template to different countries in APJ region and EMEA Provide support on the working hours of APJ for the SAP CRM systems which are used in multiple European countries and APJ region. The current solution has thousands of active users. This includes solving technical issues assigned to the CRM team and often involves the analysis of complex production issues which may traverse multiple systems in the highly integrated IT landscape Support digital transformation projects with designing and building enhancements across the toolset that meet business requirements Support rollouts of SAP CRM into new business areas and teams Develop, test, and promote patches, fixes, and enhancements to the production environment as per the change control guidelines Communicate effectively with the client to identify business needs, issues, and requirements, and evaluate business solutions as required Code analysis and problem identification to accelerate developments Knowledge transfer to trainers, subject matter experts, and other consultants Provide occasional support outside of normal working hours for month-end, P1 issues, system maintenance, and Go-Lives Deliverables as assigned by the stream lead Preferred candidate profile Strong SAP CRM knowledge 4-6 years' experience SAP CRM process and system configuration knowledge Analytic skills for problem solving Customer orientation behavior and good communication skills Ability to work in an international environment and a team split across the world Fluency in the English language Additional Knowledge & Skills Javascript knowledge and experience will be a plus Python Experience with Cloud technologies (like Azure), processes and security protocols Automation and orchestration experience is a plus Experience with AI solutions

We are seeking a skilled Data Analyst with expertise in Power BI and AI tools to join our dynamic team. In this role, you will be responsible for analyzing complex datasets, creating visually compelling reports and dashboards, and leveraging artificial intelligence to derive actionable insights. You will work closely with cross-functional teams to drive data-driven decision-making and improve operational efficiencies. Opportunity Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. We Offer A tailored onboarding and induction with access to a wide range of training schemes to help with your learning and development. Setting you up for success is important to us. An annual bonus based on company performance. Every colleague at Maersk has access to a fantastic range of wellbeing, mental health support and financial advice through our Employee Assistance Program. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. Whilst the role is advertised as full-time, we would be happy to discuss possible flexible working options and what that might look like for you. Job Summary: We are seeking a numbers-driven Data Analyst with strong proficiency in Power BI and Excel , as well as a solid understanding of AI tools to support our data-driven operations. In this role, you will analyze complex datasets, generate accurate operational reports, and deliver actionable insights that inform strategic and tactical decision-making across the organization. Key Responsibilities: Operational Reporting & Data Analysis: Collect, clean, and analyze large datasets from various sources to deliver actionable insights. Accurately understand and report on operational metrics and business performance , highlighting trends and anomalies. Create interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs. Develop Excel-based reports for data exploration, quick analyses, and business reviews. Power BI & Analytical Tools Implementation: Design and implement Power BI solutions using Power Query, Power Pivot, and DAX. Collaborate with stakeholders to tailor reports and dashboards to business needs. Drive the adoption and usage of Power BI across departments by creating user-friendly and insightful visualizations. AI Tools & Advanced Analytics: Apply machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from datasets. Develop predictive models to support forecasting, customer behavior analysis, or performance optimization. Leverage AI capabilities to enhance data interpretation and automate insight generation. Cross-Functional Collaboration: Work with stakeholders from operations, marketing, finance, and other teams to translate business questions into analytical solutions . Provide strategic and operational support by delivering data in a format that is easy to understand and act on. Data Governance & Quality Control: Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks. Maintain compliance with internal data governance and security standards. Continuous Improvement & Learning: Continuously refine reporting systems and tools to improve accuracy, usability, and performance. Stay up to date with developments in Power BI, Excel, AI tools, and industry best practices. Required Skills and Qualifications: Proven experience in data analysis and operational reporting. Proficient in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, etc.). Strong analytical mindset with attention to detail and accuracy in reporting. Skilled in working with large datasets and deriving meaningful insights. Experience in SQL for data extraction and transformation. Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn). Effective communicator able to present data clearly to non-technical audiences. Team player with the ability to work cross-functionally and manage multiple priorities. Preferred Qualifications: Exposure to machine learning frameworks and predictive analytics. Understanding of data governance and data privacy principles. Key Success Metrics: Timely and accurate delivery of operational and business-critical reports. Clear and actionable data insights that drive process improvements and better decision-making. Enhanced adoption of Power BI and Excel-based reporting tools across business units.

Job Title: AI Agent Developer - Azure AI & OpenAI Platform Location: Pune (Hybrid 3 days onsite per week) Experience: 2+ years Employment Type: Full-time About the Role We are looking for an experienced AI Agent Developer to join our team and help design and implement AI-powered agents using Azure OpenAI , Azure AI Search , and related components of the Microsoft AI platform . This role is ideal for someone passionate about conversational AI, retrieval-augmented generation (RAG), and building intelligent automation across enterprise systems. Key Responsibilities Develop and deploy AI agents using Azure OpenAI Service , Azure AI Search , and Azure Cognitive Services Build intelligent workflows using RAG techniques to enhance knowledge retrieval and contextual responses Integrate AI agents with Microsoft tools like Power Automate , AI Builder , Azure Bot Services , and other enterprise systems Design conversational workflows that connect to APIs, databases, and internal tools Improve the accuracy, scalability, and performance of AI solutions in a cloud-native environment Apply prompt engineering strategies to optimize agent interaction quality Collaborate with cross-functional teams to understand requirements, prototype AI solutions, and support production rollouts Ensure solutions meet enterprise standards for security , compliance , and data governance Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field 2+ years of experience in AI/ML development, with a focus on Microsoft Azure Strong hands-on experience with: Azure OpenAI Service Azure AI Search , including semantic search and entity recognition Azure AI Foundry , Model Catalog , Document Intelligence Proficiency in Python or C# Familiarity with REST APIs , GraphQL , and enterprise data integrations Understanding of cloud-native development and DevOps practices Prior experience designing or deploying RAG pipelines is highly desirable Work Model Hybrid work model based in Pune Requires 3 days per week from office

We seek a hands-on Technical Architect (AI) to design and implement AI-driven architectures for our insurance ecosystem. You will lead by example, combining deep coding expertise in Python, .NET Core, Angular, and Azure with architectural vision to modernize systems, reduce costs, and integrate AI/ML solutions. This role demands active contribution to code, PoCs, and system design while guiding teams and clients. Key Objectives and Major Responsibilities: Hands-On Development: Design, code, and optimize AI models (e.g., predictive underwriting, claims automation) using Python, Azure AI Services, and LLMs . Build .NET Core Web APIs , Angular/React UIs , and Azure-native applications (Functions, Logic Apps, Azure SQL). Develop AI accelerators (e.g., Agentic AI workflows, RAG pipelines) and PoCs for insurance use cases. Architecture & Delivery: Help in designing, imagining, and building the roadmap for the Organisation in AI in SDLC and emerging technologies in this space. Lead end-to-end implementation of AI use cases using cloud native (Azure) technologies Architect event-driven systems using Kafka, Azure Event Grid, or similar tools. Enforce code quality via SonarQube, security via Guiderails, and CI/CD best practices. Client & Team Collaboration: Work with Chief architect and other architecture team members for this initiative Partner with stakeholders to translate insurance workflows (e.g., policy administration) into technical solutions. Conduct hands-on code reviews , troubleshoot performance bottlenecks, and mentor teams in Python, .NET Core, and Angular . Present technical solutions in customer ARBs, including AI/ML ROI demonstrations . Key Capabilities and Competencies Technical Expertise (Hands-On Required) Languages & Frameworks: Python : Proficient in building agents, integrate with LLM models, and integrating them into .NET systems. .NET Core : Expertise in developing scalable Web APIs, Entity Framework, and cloud-native applications. Angular/React : Strong frontend development skills (Angular 13+, TypeScript). Cloud & AI: Azure : Hands-on with Cognitive Services, AI Foundry, Logic Apps, Power Automate AI Builder , and Azure SQL. DevOps : CI/CD pipelines (Azure DevOps), Infrastructure-as-Code (ARM/Bicep). AI/ML : GitHub Copilot, Foundational models, integrations of such models, LLM fine-tuning, prompt engineering, and MLOps for insurance workflows. Insurance Domain: Applied knowledge of underwriting, claims processing, and regulatory compliance. Soft Skills Ability to code, architect, and communicate solutions effectively to technical and non-technical stakeholders. Leadership in Agile/Scrum environments with a focus on delivering working software . Qualifications & Experience 1215 years of experience, including 5+ years as a hands-on architect in AI/ML and cloud-native development. Proven track record of coding in Python, .NET Core, and Azure services (shareable GitHub/GitLab links preferred). Insurance domain experience (e.g., policy administration systems, claims automation). Certifications: Azure Solutions Architect Expert , AWS/GCP Cloud Architect (preferred). Bachelors/master’s in computer science, Engineering, or related field.

Microsoft Azure. Azure Cognitive Services, Azure Machine Learning, Azure Open AI, AI/ML development, Azure AI tools. Azure Cognitive Services (e.g. Vision, Speech, Language, and Decision APIs).Python, Docker/AKS. scikit-learn, TensorFlow or PyTorch.

General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.• Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

Key Skills: Azure Synapse, Azure Databricks, Azure, Azure Devops, Azure AI, Azure Api, Azure AD, PLSQL Roles and Responsibilities: Design and Develop Data Pipelines: Build and maintain scalable data pipelines using Azure Data Factory, ensuring efficient and reliable data movement and transformation. File-Based Data Management: Handle data ingestion and management from various file sources, including CSV, JSON, and Parquet formats, ensuring data accuracy and consistency. ETL Implementation: Implement and optimize ETL (Extract, Transform, Load) processes using tools such as Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Cloud Storage Management: Work with Azure Data Lake Storage to manage and utilize cloud storage solutions, ensuring data is securely stored and easily accessible. Automation with Data Factory: Leverage Azure Data Factory's automation capabilities to schedule and monitor data workflows, ensuring timely execution and error-free operations. Performance Monitoring: Continuously monitor and optimize data pipeline performance, troubleshoot issues, and implement best practices to enhance efficiency. Team Collaboration: Collaborate with Technical Architects, Business Analysts, and other engineers to build scalable and reliable end-to-end data solutions for reporting and analytics. DevOps Framework: Defining and implementing DevOps framework using CI/CD pipelines. SQL Development: Write efficient, clean, and well-documented SQL queries for data extraction, manipulation, and analysis. SQL Performance Optimization: Optimize performance of SQL-based queries, stored procedures, and jobs in Azure environments. Data Security & Compliance: Implement data security best practices and ensure compliance with data privacy regulations (HIPAA, etc.). Technical Leadership: Provide technical leadership and mentoring to junior engineers and team members. Technology Adoption: Stay current with emerging Azure technologies and trends, recommending improvements to existing systems and solutions. Skills Required: Strong expertise in Data Analytics for analyzing and interpreting large datasets. Proficiency in Azure Boards-GitHub for managing project tasks and source code version control. Extensive experience with Azure Data Factory for building and managing scalable data pipelines. In-depth knowledge of Azure Data Lake for managing cloud storage solutions and data access. Hands-on experience with Azure Synapse for data integration and analytics solutions. Proficient in Azure DevOps for implementing CI/CD pipelines and automating deployments. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field

Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Required Skills & Qualifications: Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Masters. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins. 5-7 years of similar or equivalent experience.

Job Title: AI Platform Lead Location: Noida | Start Date: ASAP | Type: Full-time We’re hiring an AI Platform Lead to manage and scale our AI platforms (Dataiku, Azure ML, Azure AI Services). The role requires 5+ years’ experience in AI/ML platform management, strong cloud and DevOps expertise, and leadership skills. Must-have: Experience with Azure, Dataiku, Agile/DevOps, and a Master’s or PhD in a relevant field.

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

Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential