56 Azure Ai Jobs - Page 2

About Company: Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. We support flexible engagement models including Time & Material, Staff Augmentation, and SoW-based Managed Services. About the Role: Were hiring a Senior Machine Learning Developer to join our data modernization and AI engineering team. In this role, you will design, develop, and deploy ML models and intelligent systems that drive next-gen financial insights. You will work with structured and unstructured data on a secure cloud-based infrastructure leveraging Azure ML , Python , and modern NLP/AI frameworks . Key Responsibilities: Build, train, and implement ML/NLP models for classification, clustering, and text analysis Work with large-scale financial data and develop intelligent automation solutions Clean, normalize, and validate structured and unstructured datasets Build and consume REST APIs for ML services Integrate Azure AI services including Cognitive Services, OpenAI, and Form Recognizer Collaborate with cross-functional teams including DevOps, data engineers, and PMs Follow best practices in model versioning, testing, and deployment Document ML workflows and models for reproducibility and compliance Required Skills & Experience: 6+ years of experience in software/data engineering, with 3+ years in ML/AI Strong Python expertise with libraries like Scikit-learn , Pandas , NumPy , etc. Experience with ML frameworks such as TensorFlow or PyTorch Experience building AI models for NLP tasks like classification, summarization, or entity extraction Familiarity with Azure AI/ML services (Azure ML Studio, Cognitive Services, AKS, Key Vault) Experience handling both structured and unstructured datasets REST API and Python library development Excellent communication and documentation skills Nice to Have: Exposure to finance sector datasets or financial document automation Experience with Azure OpenAI , Azure Language Studio, or Chatbot frameworks Familiarity with statistical programming languages like R or Julia Microsoft Data or Azure AI/ML certifications Benefits and Perks Opportunity to work with leading global clients Flexible work arrangements with remote options Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities

We're Hiring | AI Lead GenAI & LLMs | 8-10 Yrs | Multiple Xebia Locations | Hybrid Locations: Bangalore | Hyderabad | Chennai | Pune | Bhopal | Jaipur | Gurugram (Hybrid 3 days/week in office) Experience: 8 to 10 years Joiners: Immediate to Max 2 Weeks Notice Period ONLY About the Role: Are you a visionary in the AI/ML space looking to build cutting-edge Generative AI solutions ? We are seeking an accomplished AI Lead who will architect and drive enterprise-grade AI systems—leveraging LLMs, deep learning models, vision AI, and GenAI . You’ll lead from the front, mentor top talent, and build transformative solutions that shape the future of intelligent applications. Key Responsibilities: Architect and implement scalable Generative AI (GenAI) and RAG solutions using LLMs , vision models , and vector databases Lead the design, development, and deployment of AI/ML and deep learning systems Integrate AI platforms with Azure AI Studio , SharePoint , and Power BI Guide the team in leveraging Agentic frameworks like LlamaIndex Align with business stakeholders to craft and deliver high-impact AI strategies Drive innovation, technical mentorship, and excellence across the AI team Establish coding best practices, performance tuning, and scalable solution design Must-Have Skills: 8–10 years of AI/ML experience, with 3+ years in leadership or architecture roles Proficiency in Python , TensorFlow , PyTorch , Scikit-learn Strong experience in LLMs , OCR , Vision AI , vector DBs , RAG Familiarity with Azure AI Studio , Azure Cloud Architecture , and Azure DevOps Exposure to Agentic frameworks and tools like LlamaIndex Basic working knowledge of Power BI and SharePoint Proven leadership and team management skills Good-to-Have: Experience with AWS or GCP Knowledge of DevOps practices , CI/CD , Kubernetes Awareness of AI ethics , governance , and compliance Exposure to advanced BI/visualization tools To Apply: Send your resume to vijay.s@xebia.com with the following details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (from above) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile Important: Apply only if you’re available to join immediately or within 2 weeks and are not currently in process with other roles at Xebia. #AIJobs #GenerativeAI #LLMs #VisionAI #XebiaHiring #ImmediateJoiners #Python #AzureAI #AIML #LeadershipHiring #DataScienceJobs #AgenticFrameworks #ChennaiJobs #PuneJobs #BangaloreJobs #HyderabadJobs #GurugramJobs #JaipurJobs #BhopalJobs #TechHiring #AILead

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Manager - AI Architect We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models / agentic solutions into enterprise systems, and ensuring alignment with business objectives . This role requires deep technical expertise , strategic thinking, and the ability to work with cross-functional teams. Responsibilities: AI Strategy & Architecture: Design and implement AI/ML architectures that align with business goals. Define best practices for AI model lifecycle management , including training, deployment, and monitoring. Ensure A gentic solutions are scalable, secure, and efficient for enterprise deployment. AI Development & Integration: Select the right AI frameworks, tools, and platforms for business needs. Oversee the development and integration of AI models into enterprise applications. Collaborate with data scientists and engineers to optimize AI models for performance and accuracy. Governance & Compliance: Establish AI governance frameworks to ensure ethical and responsible AI usage. Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations. Implement robust AI security measures to protect against adversarial attacks. Collaboration & Leadership: Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions. Lead and mentor AI developers Stay updated with the latest AI trends and drive innovation in AI adoption within the organization. Qualifications we seek in you! Minimum qualifications: Technical Skills: Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch , Hugging Face, etc.). Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA , Claude, and Gemini for agentic behavior. Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making. Agentic Frameworks - Proficiency in LangChain , AutoGPT , BabyAGI , or CrewAI for building autonomous agents. Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI). Proficiency in programming languages (Python, Java, R, etc.). Understanding of MLOps practices for model deployment and monitoring. Experience with API development and microservices architecture. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Preferred Qualifications: Master&rsquos in Computer Science , AI, Data Science, or related fields. Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Relevant years of experience in software development or equivalent Experience in AI ethics and bias mitigation (Optional) Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

We are looking for a talented Sr. Backend Python Developer to strengthen the Generative AI engineering team. You will focus on developing secure, scalable, and efficient services for the AI platform. You'll contribute to building APIs, vector database integration, and LLM orchestration pipelines that drive real-time document understanding and AI-driven insights. Responsibilities Design, develop, and optimize RESTful and streaming APIs using FastAPI and Python. Architect scalable and modular microservices, integrating with vector databases such as Azure AI Search, AstraDB, or FAISS. Implement Retrieval-Augmented Generation (RAG) pipelines and intelligent document ingestion workflows. Build backend services supporting AI chatbot functionality, including prompt orchestration, real-time LLM responses, and streamed chat experiences. Manage user access control, chat history, token usage tracking, and metadata services for documents. Apply software engineering best practices including Design Patterns (e.g., Singleton, Factory) and clean architecture principles. Leverage SQLAlchemy ORM for database modeling and asynchronous I/O for scalable performance. Ensure secure coding practices, observability, and robust error handling. Work on API Gateway design and implementation for managing authentication, rate limiting, and routing. Deploy and manage services using Docker, Kubernetes, and cloud infrastructure on Azure or equivalent (AWS/GCP). Integrate and operationalize Azure AI Services (e.g., OpenAI, Azure Search, Cognitive Services) or comparable cloud-based AI tools. Qualifications 5+ years (5 min to 8 max years)of experience in Python backend development, with a strong understanding of asynchronous programming. Expertise in FastAPI, SQLAlchemy, Pydantic, and scalable backend architecture. Hands-on experience with chatbot development and integrating LLMs (e.g., GPT, Claude, Gemini) into backend systems. Familiarity with LLM orchestration frameworks such as LangChain, OpenAI SDK, or LlamaIndex. Strong knowledge of RAG architecture and real-time document-query pipelines. Experience with API Gateway management and building secure, multi-tenant backend platforms. Proficiency in SQL/NoSQL databases such as Postgre SQL,MYSQL or CosmosDB. Experience integrating Azure AI Services, or equivalents from AWS or Google Cloud. Understanding of role-based access control and secure authentication using JWT/OAuth2. Familiarity with containerization (Docker), CI/CD workflows, and monitoring/logging tools. Hands on with frontend technologies such as Next.js, React.js, TypeScript, and Tailwind CSS to enable better cross-functional collaboration. Understanding of frontend-backend integration, chat UI streaming, and WebSockets/SSE mechanisms. Exposure to document processing, chat memory management, and multi- agent prompt routing. Contributions to open-source Generative AI tools, AI agents, or internal LLM platforms. Experience working in Agile teams, writing unit/integration tests, and participating in code reviews.

Role & responsibilities Personal responsibility (if any) / Performance measures: Key Responsibilities: Develop and maintain applications using the Copilot ecosystem. Integrate Azure AI services to enhance application functionality. Design and implement workflows using Power Automate. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Troubleshoot and resolve issues related to AI and automation solutions. Stay updated with the latest trends and advancements in AI, automation, and related technologies. Functions / Day-to-day activities: Bachelor's / masters degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualifications : Bachelor's / master’s degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred candidate profile

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. Youll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn’t mean you’ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that’s connected – connected by freedom. Role Overview ISG Research is one of the fastest-growing segments within ISG. To enable future growth and scale, we’re modernizing our research operations using AI and intelligent automation.We’re looking for an experienced AI Developer who is passionate about transforming real-world business processes using emerging technology. This is a high-impact role where you’ll work closely with professional researchers, cross-functional business leaders, and global technology stakeholders to shape the future of our research operations. You’ll thrive here if you: Are a creative problem-solver who enjoys figuring things out independently Communicate clearly with both technical and non-technical collaborators Bring a positive, can-do attitude and a drive to make meaningful change Are excited to work across AI, Automation, and Microsoft platforms to build intelligent, scalable systems This role is based in Bangalore and will collaborate with colleagues across the US, Europe, and India . Key Responsibilities Design, develop, and implement AI-driven solutions to streamline and enhance research processes Leverage AI tools (ChatGPT Enterprise, and Microsoft CoPilot Enterprise) and Automation tools (e.g., Azure AI Services, Power Automate, Power Apps, Copilot Studio) to deliver intelligent workflows Build and integrate agentic tools and LLM-powered assistants to support business users Analyze current-state workflows and identify opportunities for automation or augmentation Integrate internal and third-party APIs to extend system capabilities Work with stakeholders to define requirements and translate them into working solutions Document technical designs, processes, and best practices Continuously learn and recommend new tools, approaches, and AI services Technical Skills RequirementsProgramming & Scripting Strong in Python (required) Familiarity with PowerShell , C# , or .NET is a plus (for MS ecosystem alignment) AI/ML Experience Experience working with Azure AI Services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services) Familiarity with agent frameworks like LangChain , Semantic Kernel , or Microsoft Copilot Studio Solid understanding of Large Language Models (LLMs) and prompt engineering Ability to build and maintain custom GPT agents or copilots Automation & Integration Experience with Microsoft Power Platform , especially: Power Automate Power Apps Dataverse Integration experience using Microsoft Graph API , REST APIs , or Logic Apps Bonus: Experience with Microsoft Synapse , Azure Data Factory , or RPA tools (UiPath, Power Automate Desktop) Data & Cloud Good understanding of data structures , ETL , and API-based integration Hands-on experience with Azure , including deployment and monitoring of AI services Experience Level 5–10 years of experience in software development, with recent experience focused on AI/ML, automation, or Microsoft technologies Demonstrated ability to independently research and deliver working solutions in ambiguous problem spaces Prior experience modernizing legacy business or knowledge-based workflows is a plus Soft Skills and Traits Strong problem-solving skills and a growth mindset Excellent communication skills, both written and verbal Ability to collaborate across time zones with teams in the US and Europe Comfortable working with domain experts (e.g., researchers, consultants) Organized, curious, and eager to learn Education & Certifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform Developer Associate (or equivalent experience) Work Setup Location : Bangalore, India Work Arrangement : Hybrid – required to work from the office 2–3 days per week Collaborates with teams in India , Europe , and the United States Why Join ISG? Be part of a high-growth, high-impact transformation initiative Use cutting-edge tools across AI, automation, and Microsoft platforms Shape how a successful research business evolves for the next decade Collaborate with a global team of smart, experienced professionals Help define how real AI adoption happens inside the enterprise At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be.The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Role & responsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc Manage small to medium-sized projects with minimal supervision. Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps Building Copilot agents and embedding them into systems such as Workday, Teams, etc Preferred candidate profile Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field. 2-4 years of experience in developing and deploying AI/ML solutions to production. Hands-on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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