36 Azure Ai Jobs

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

Position Overview: We are looking for an AI Bot Developer and Business Process Analyst to create and deploy AI-powered Copilot Agents using Copilot Studio and Azure AI, driving business automation and optimization. Key Responsibilities: Develop Copilot Agents: Create customized AI agents with Copilot Studio to meet client needs. Integrate with Azure AI: Use Azure OpenAI and other Azure services to enhance AI solutions. Collaborate with Stakeholders: Understand business requirements and deliver AI-driven solutions. Customize & Optimize: Tailor pre-built models and workflows for optimal agent performance. Training & Support: Train users and provide ongoing support for AI tools. Deployment & Monitoring: Ensure smooth deployment and monitor AI agent performance. Documentation: Maintain process and configuration documentation for scalability. Qualifications: Experience with AI Tools: Hands-on experience with Copilot Studio, Azure AI, or similar platforms. Technical Skills: Proficiency in workflow design, APIs, and coding (e.g., Python, PowerShell). AI & Automation Knowledge: Understanding of machine learning and LLM deployment. Communication Skills: Ability to explain technical concepts to non-technical stakeholders. Problem-Solving: Creative and analytical mindset for delivering AI solutions. Preferred Skills: Experience with Power Automate, Power Apps, or similar Microsoft solutions. Familiarity with DevOps processes and CI/CD pipelines for AI projects.

Good experience in Functional Testing (Web front end, API) / Application Testing Strong working knowledge on Python and API Automation Experience in managing data using T-SQL Required Candidate profile Experience in managing data using T-SQL Experience in Azure AI Search Experience in Data quality testing Experience in RAG evaluation (grounding, hallucination, recall, precision)

We are hiring for the role of OCR System Roles & Responsibilities Builds, configures, customizes and supports products that provide innovative solutions to challenging business use cases, existing system and operational problems. Key contributor to an engineering team that builds and supports exceptional products that provide innovative solutions to challenging business use cases, existing system and operational problems. Leads architectural design, system analysis, and programming activities on application software; this may often require independent research and study. Leads teams that develop high-quality and production-ready software by using best-practice data structures, algorithms, design patterns, and frameworks that are maintainable, scalable, responsive, and secure. Champions writing highest quality code with utmost attention to scalability, security and performance and with an end-to-end mindset from conception to delivery and production support, owning specifications, quality, release deployments and monitoring of production health. Produces complete, simple, and readable technical documentation for everything developed and creates a team culture of documenting everything. Drives code-reviews, provides technical guidance and mentors software engineers. Collaborates closely with Engineering leadership, Product Managers, Designers, QA and other teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results. Scopes effort, identifies risks and clearly communicates trade-offs with team members and other stakeholders. Foresees and assesses impact assessment of product (hardware, software) upgrades. Assists in planning, coordinating, and executing engineering projects. Supports and collaborates with other Engineers through evaluation, design analysis, and development phases. Maintains knowledge, ensures competency and compliance with policies and procedures, in order to be the technical expert while collaborating with cross-functional teams. This list is not all-inclusive and you are expected to perform other duties as requested or assigned. Qualifications Degree in Computer Science and/or equivalent technical education and experience. 7+ years of experience with Healthcare Technology; Intake/OCR systems (Formworks) and Intake/OCR system integrations Expertise in Creating, Maintaining and Enhancing Formworks or Other OCR/Intake system configurations Expertise in Creating, Maintaining and Enhancing Processes related to Claims intake Expertise in understanding of Paper Claims scenarios / EDI claims data formats Expertise in Datadog and Azure Observability/Monitoring platform. Expertise in Azure AI Document Intelligence Expertise in working with Azure cloud services Expertise in DevOps/GitOps Experience with Production Support (Abend resolution, documentation). Knowledge of MetaVance Application or any Healthcare Claims processing system is a plus. Flexible with work schedule (supporting oncall for Production and Pre-Production environments). Knowledge of current trends and best practices enabling sound technology choices and strategic decisions. Spearheads the development of innovative approaches to detect, respond to, and eradicate tech debt, anti-patterns and advance threats. Ability to research and apply innovative methodologies, latest industry trends, design patterns. Recognizes underlying problems, opportunities, or the political forces affecting the organization. Subject matter expert responsible for sharing expertise and insight with other engineers. Identifies significant internal and external stakeholders and builds partnerships as part of an influencing strategy. Demonstrates mastery in their area of expertise and are recognized as an authority on it by their peers and leaders. Evaluates and generates options that scan the entire spectrum of software reliability, ease of adoption, scalability, operational ease, and skillset availability. Mentors and champions cultural as well as process change. Knowledge of agile development methodologies. Ability to develop and maintain key vendor relationships. Life-long learner, process improver. Ability to understand business plans and apply that information into the development of an IT business case. Anticipates problems, resistance or likely objections and takes action to resolve them. Ability to guide, train and mentor associate engineers. Highly skilled in developing quantitative cost/benefit analysis to measure improvements. Proficient in organizational processes as well as capable of assessing and initiating change of such processes. Demonstrates an in-depth knowledge and application of competency and can consult as well as lead others in its application. Strong communication (written and verbal) and presentation skills. Knowledge of agile development methodologies. Ability to develop and maintain key vendor relationships with a focus on technology currency and best practices. Ability to understand an existing business process and collaboratively develop a more efficient and automated workflow

Skills: SQL, ADF,ETL, Databricks,Pyspark,GENAI,Azure AI Cognitive, Data EngineeringNotice Period: 0-30 days Required Candidate profile LocationBangalore, Chennai, Hyderabad, Pune, Mumbai, Noida, Gurgaon

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

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy Advisory, Capability Network I Areas of Work: Data AI Strategy I 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 impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre 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 RD 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 clients 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 Whats 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.

Role & responsibilities : Key Responsibilities: 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. 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 Microsofts 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.

About the Role We are seeking a highly skilled Tech Lead Azure AI with expertise in Retrieval-Augmented Generation (RAG), OpenAI, Azure AI Search, and other AI-driven technologies to spearhead the development of Generative AI (Gen AI)-powered solutions. In this role, you will **lead the design, development, and deployment** of intelligent applications leveraging **Azure AI services and Large Language Models (LLMs)** to enhance **information retrieval, processing, and decision-making** capabilities. You will work closely with cross-functional teams, ensuring seamless integration of AI technologies into business operations and applications. **Key Responsibilities** Lead the architecture, design, and implementation of AI-driven solutions using **Azure AI services, OpenAI, and RAG techniques**. - Develop and optimize **LLM-based applications**, enhancing information retrieval and natural language understanding. - Implement **Azure AI Search** for efficient data indexing and retrieval in AI-powered applications. - Build and maintain **scalable, high-performance AI models** that support business intelligence and automation. - Collaborate with **data engineers, software developers, and business stakeholders** to integrate AI solutions into existing workflows and applications. - Ensure AI models and solutions adhere to **best practices for security, scalability, and compliance**. - Stay updated on advancements in **AI, machine learning, and cloud technologies** to drive continuous innovation. - Troubleshoot and resolve **performance bottlenecks, model drift, and AI system failures**. ## **Required Skills & Experience** **8+ years** of experience in **software development, AI/ML, and cloud-based AI solutions**. - Strong expertise in **Azure AI services**, including **Azure OpenAI, Azure AI Search, Cognitive Services, and Machine Learning**. - Hands-on experience with **Retrieval-Augmented Generation (RAG), knowledge graphs, and NLP techniques**. Hands-on experience with **Qdrant and Azure AI Search**. Experience on **using and deploying Huggingface Models**. Proficiency in **Python, C#, or Java** for AI model development and deployment. - Experience with **vector databases, embeddings, and semantic search** implementations. - Familiarity with **DevOps, CI/CD pipelines, and MLOps** for AI solution deployment. - Strong problem-solving skills with the ability to **debug and optimize AI models**. - Excellent communication skills to effectively collaborate with **technical and non-technical stakeholders**. **Nice-to-Have Skills** Experience in **fine-tuning and optimizing LLMs** for enterprise applications. Knowledge of **Azure Kubernetes Service (AKS) and containerized AI deployments**. Understanding of **AI ethics, bias mitigation, and responsible AI principles**.

Technology Analyst 4+ exp in AI Model Engineering UPTO 20LPA BLR/PUNE 5Days Bachelor’s degree(computer science,Engineeringrelated field) Certification(Microsoft Azure Solutions Architect, Azure DevOps) 9953984389 mansikohliimaginator@gmail.com Required Candidate profile UI/UX design&implementation, develop&maintain front-end,Design maintenance ARM,Bicep,templates,Azure DevOps Exp end-to-end Project Management,Planning Stakeholder Management, Project Governance

Role & responsibilities 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. Preferred candidate profile Perks and benefits

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 Microsofts 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: Bachelors or Masters 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.