125 Azure Ai Jobs - Page 5

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

Role Summary: We are looking to hire Junior Gen AI Developers with hands-on experience in building and deploying Generative AI applications. Candidates must have actively contributed to at least one real-time project rollout to a customer. At least 6 months of hands-on experience in Gen AI application development Exposure to real-time Gen AI project rollout Ability to develop AI Assistants and Agents Experience in deploying Gen AI applications on cloud (Azure, AWS) or on-premises infrastructure Strong understanding and implementation of prompt engineering techniques Understand the use case and design AI solution which fits for customer needs Develop AI Assistants and Agents using GenAI AI platforms Deploy on any cloud or on Prem infrastructure Experience in using different prompt techniques Experience in testing & finetuning the Gen AI solutions Experience in implementing Guardrails as per customer needs

Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru) Experience : 3+ years of industry experience in ML, software engineering, and data engineering. Education : Masters degree or equivalent experience in Machine Learning. Location : Bangalore (HSR Layout) Job Description: We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems. Responsibilities: Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cases. Develop and maintain robust, scalable ML pipelines for training, evaluation, and deployment. Optimize model performance using cloud-based GPU resources and best practices. Implement scalable inference systems, A/B testing, and monitor production models. Collaborate with cross-functional teams to deliver AI-driven product features. Follow best practices in MLOps, LLMOps, Kubernetes, and Docker. Required Skills: Strong knowledge of Machine Learning, Deep Learning, NLP, and LLMs. Experience with Python, PyTorch, TensorFlow. Familiarity with Generative AI frameworks: Hugging Face, LangChain, MLFlow, LangGraph, LangFlow. Cloud platforms: AWS (SageMaker, Bedrock), Azure AI. Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB. MLOps tools, Kubernetes, Docker. Preferred Qualifications: 3+ years of experience in ML/AI product development. Proven experience building and deploying NLP, LLM, and Generative AI solutions. Experience working with LLMOps best practices. Strong programming skills in Python and familiarity with JavaScript. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Qualifications Skills, Education & Qualifications: Skills Proven experience delivering Microsoft AI-powered automation solutions for enterprise-scale infrastructure estates, including Windows, Linux, and multi-vendor databases. Expertise with Microsoft Azure AI and automation services , such as: Azure OpenAI for natural language-driven insights and recommendations Azure Machine Learning for predictive analytics and model deployment Azure Monitor, Log Analytics, and Sentinel for intelligent event correlation and alerting Azure Automation / Logic Apps / Power Automate for workflow orchestration and remediation Integration experience with enterprise platforms (e.g., ServiceNow, Salesforce) to enable automated incident creation, change management, and proactive service operations. Performance tuning and predictive infrastructure monitoring using ML models to forecast service degradation and automate remediation actions before user impact. Automation of patch management, configuration drift detection, and compliance enforcement across diverse systems and database platforms. Advanced use of AI/ML to correlate infrastructure events with engineer resource allocation for faster Mean Time to Resolution (MTTR) and improved preventative maintenance. Strong understanding of operational data pipelines , ensuring telemetry from multiple systems is normalised, enriched, and leveraged for actionable insights. Experience in AI-driven preventative maintenance strategies , reducing unplanned outages and optimising infrastructure performance at scale.

Key Responsibilities: Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications. Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups. Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols. Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support. develop and deploy AI services using Azure AI Services , Azure OpenAI , and integrate with Hapivet.ai Ensure secure, compliant, and scalable deployment of AI/ML models in line with veterinary data privacy standards and healthcare regulations. Collaborate with veterinarians, product managers, and software engineers to ensure AI solutions are clinically relevant, user-friendly, and impactful. Required Skillset:Machine Learning & Deep Learning for Healthcare Strong foundation in supervised/unsupervised learning, anomaly detection, and predictive analytics applicable to veterinary clinical data. Experience with CNNs (for imaging), RNNs/LSTMs (for sequential data like patient histories) and Transformers for natural language tasks. Proficiency with TensorFlow , PyTorch , and Hugging Face . Good to have understanding on GANs (medical imaging, data privacy-safe synthetic data, or image-based diagnostics) LLMs & NLP for Veterinary Applications Deep understanding of transformer models ( GPT, BERT, LLaMA ) applied in medical/veterinary text summarization and knowledge extraction. Fine-tuning LLMs with techniques with PEFT , LoRA , QLoRA for domain-specific tasks. Expertise in Prompt Engineering and Chain of Thought (CoT) design for veterinary use cases. RAG pipeline development with veterinary case databases using Pinecone or Azure AI Search . AI Agent Workflows & Orchestration Multi-agent coordination and AI workflow orchestration with LangChain , LangGraph , and Microsoft Autogen SDK . Experience with context management using Model Context Protocol (MCP) in clinical task flows. Cloud AI Deployment & Engineering Experience with Azure AI, model serving (Triton, TensorFlow Serving, TorchServe). CI/CD for AI models, cloud security, and scalable API integration. Programming & Data Engineering Advanced proficiency in Python, R working knowledge of TypeScript . Veterinary data processing experiencehandling EMRs, patient histories, and diagnostic reports Data cleaning, transformation, and ensuring data quality for clinical applications. Preferred Experience: AI/ML deployment in veterinary practice management systems or healthcare applications . Understanding of veterinary compliance, data sensitivity, and client confidentiality (e.g., pet health records, veterinary licensing). Exposure to veterinary-specific AI applications, such as diagnostic imaging analysis , clinical decision support systems , or client interaction bots . Familiarity with DeepSpeed , Megatron-LM , and scaling techniques for LLMs. Soft Skills & Domain Understanding: “Passion for improving pet care and veterinary services through technology”. Strong communication skills for collaborating with veterinary professionals. Ability to translate clinical workflows into AI-enabled solutions.

We are looking for a Senior Software Developer with strong expertise in .NET technologies to join our growing healthcare software engineering team in Bangalore. As part of our team, you will contribute to developing scalable applications that make a real difference in the healthcare industry. With over 20 years of experience in healthcare technology, we are committed to innovation and continuous improvement. Our ideal candidate is a hands-on engineer who thrives in an agile environment, embraces test-driven development, and is eager to solve complex challenges across the full stack of applications. Responsibilities Develop & Test: Analyze, design, develop, and maintain scalable web applications and test automation suites. Agile Development: Work within an agile environment, following best practices for software development and testing. Enhance & Optimize: Provide ongoing maintenance, support, and improvements for existing systems and platforms. Collaborate & Innovate: Work cross-functionally with business analysts, project managers, designers, and other engineers to build elegant solutions. User-Centric Development: Partner with product managers to define, prototype, and test experiences with real users to maximize value. Drive Best Practices: Implement coding standards, software design principles, and CI/CD processes to ensure high-quality development. Qualifications Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 7+ years of professional software development experience . Proven expertise in client/web/mobile application development, networking, and security. Strong experience working in Scrum/Agile development environments. Technical Skills & Preferred Qualifications Must-Have Skills: .NET Development: Expertise in C#, ASP.NET MVC, .NET Core Frontend Technologies: Strong experience with JavaScript, jQuery, Ajax, CSS Database Management: Proficiency in SQL Server, SQL/PLSQL Software Development Best Practices: Experience with test-driven development (TDD), behavior-driven development (BDD), and automated testing frameworks Nice-to-Have Skills: Generative AI (GenAI): Experience working with AI/ML models, GenAI APIs (e.g., OpenAI, Azure AI, Google Vertex AI) Modern Frontend Frameworks: Experience with React.js, AngularJS, Bootstrap Azure DevOps & CI/CD: Familiarity with Azure cloud services and CI/CD pipelines Responsive Web Design & Browser Tools: Strong understanding of responsive UI design and browser development tools SSRS & SSIS Knowledge: Basic knowledge of SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS) Interest in Learning: Willingness to explore new technologies and development methodologies as needed

Key Responsibilities: 1. To leverage design expertise to ensure that software and products exhibit user-friendliness, intuitiveness, and alignment with user expectations, contributing to the creation of seamless user experiences. 2. To lead a team of designers, provide guidance, and ensuring the delivery of high-quality design solutions in alignment with the overall business goals. 3. To present design concepts and play a crucial role in shaping the overall design vision and strategy. 4. To stay abreast of industry trends, emerging technologies to drive innovation and excellence in design. Must Have Technical Skill: experience in AI/ML, with Generative AI or LLMs. experience with OpenAI, Azure OpenAI, Hugging Face, or similar platforms experience on Python and ML frameworks such as TensorFlow, Py-Torch, or similar. Experience with cloud platforms (Azure, AWS, GCP) and deploying AI models in production Excellent communication and leadership skills

Name of requirement - Generative AI Engineer Skill Category - Strong hands-on experience with LLMs and SLMs, including integration of open-source models, prompt engineering, evaluation, and fine-tuning techniques. Good Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Skillset Keywords - Generative AI Engineer Exp. - Overall, 8-10 years combined experience in IT Work Type Location - Bangalore

Greetings from SwaaS Role : Collaboration AI - Product Owner Location : Chennai, Mode : Work from Office JD: Key Responsibilities Act as the product owner for Microsoft Copilot, Copilot Studio, and related AI collaboration tools. Proven experience with Microsoft 365 Copilot, Copilot Studio, and Azure AI services. Lead governance efforts, including evaluating monthly feature releases, determining enablement or disablement strategies, and communicating changes to the business. Partner with business units to identify use cases, gather requirements, and guide the creation of Copilot Studio agents or escalation to Azure AI when appropriate. Provide strategic guidance on when to use SharePoint Copilot versus Copilot Studio or Azure AI, ensuring the right tool is used for the right scenario. Monitor usage metrics to track adoption, identify underutilized licenses, and implement license reclamation strategies. Enable and support business users in agent creation, offering best practices and hands-on support for Copilot Studio development. Stay current on Microsofts AI roadmap and proactively assess opportunities to enhance digital workplace productivity. Collaborate with IT, security, and compliance teams to ensure responsible AI usage and alignment with enterprise policies. Interested candidates please share your CV to deepa@swaas.net

Qualifications: Must Have 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS Good to Have Knowledge of Generative AI Experience: 4-6 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Develop and maintain high-quality, responsive user interfaces for web applications. Develop Scalable and Robust backend APIs aligned with business requirements. Collaborate with designers, product managers, and backend developers to implement and improve UI/UX designs. Conduct code reviews, provide feedback, and mentor junior developers as needed. Should be self-driven individual and always look for future opportunities. Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction. Demonstrates good communication skills.

Develop and deploy AI/ML models using Azure Machine Learning, Azure Cognitive Services, and other Azure AI services Integrate Azure AI services with existing infrastructure, ensuring seamless data flow and processing Required Candidate profile Azure AI & data services - ADLS, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Cognitive Services Data Integration: Exp with data integration tools AI/ML: Knowledge ML concepts Perks and benefits Hybrid - 3 days in office

Sr. AI Developer with extensive experience in Retrieval-Augmented Generation (RAG) architectures, specifically leveraging Azure AI services. The ideal candidate will build and support mission-critical intelligent chatbot solutions, directly engaging with business and technical stakeholders. Responsibilities Design, develop, and deploy intelligent chatbot solutions utilizing Azure OpenAI services. Develop RAG-based solutions integrating unstructured data and structured enterprise databases. Create document ingestion pipelines from platforms like SharePoint into Azure Cognitive Search. Ensure context-aware, role-specific responses based on user access profiles. Integrate chatbots with platforms such as Microsoft Teams. Collaborate closely with business stakeholders and technical architects for solution architecture and deployment. Must-Have Skills Strong experience in Python programming Expertise with RAG frameworks and LLM-based assistant development Experience building document ingestion pipelines (SharePoint preferred) Familiarity with Azure Cognitive Search and Azure OpenAI APIs Knowledge of access control and security compliance mechanisms Strong debugging and troubleshooting abilities Nice-to-Have Skills Experience with Azure Function Apps Exposure to LangChain, LlamaIndex, Vector DBs (FAISS, Pinecone) Familiarity with Teams Bots, Power Automate, or UiPath Understanding of MLOps and model fine-tuning Soft Skills Strong communication skills to interact with business teams Problem-solving mindset; ability to work independently Ability to document solutions and knowledge transfer to internal teams

Aziro is looking for Python Developers with AI & Azure experience Exp - 7+ yrs Sr. AI Developer with extensive experience in Retrieval-Augmented Generation (RAG) architectures, specifically leveraging Azure AI services. The ideal candidate will build and support mission-critical intelligent chatbot solutions, directly engaging with business and technical stakeholders. Responsibilities • Design, develop, and deploy intelligent chatbot solutions utilizing Azure OpenAI services. • Develop RAG-based solutions integrating unstructured data and structured enterprise databases. • Create document ingestion pipelines from platforms like SharePoint into Azure Cognitive Search. • Ensure context-aware, role-specific responses based on user access profiles. • Integrate chatbots with platforms such as Microsoft Teams. • Collaborate closely with business stakeholders and technical architects for solution architecture and deployment. Must-Have Skills • Strong experience in Python programming • Expertise with RAG frameworks and LLM-based assistant development • Experience building document ingestion pipelines (SharePoint preferred) • Familiarity with Azure Cognitive Search and Azure OpenAI APIs • Knowledge of access control and security compliance mechanisms • Strong debugging and troubleshooting abilities Nice-to-Have Skills • Experience with Azure Function Apps • Exposure to LangChain, LlamaIndex, Vector DBs (FAISS, Pinecone) • Familiarity with Teams Bots, Power Automate, or UiPath • Understanding of MLOps and model fine-tuning Soft Skills • Strong communication skills to interact with business teams • Problem-solving mindset; ability to work independently • Ability to document solutions and knowledge transfer to internal teams