84 Azure Openai Jobs - Page 3

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, 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 agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, 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 genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant - AI Senior Engineer! In this role you&rsquoll be leveraging Azure&rsquos advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities . AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. . Document AI and Data Extraction, Build AI-driven workflows for extracting structured and unstructured data fromLearning, receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. . RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval Optimize RAG workflows for large datasets and low-latency operations. . Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. . Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Minimum Qualifications . Proven experience with Machine Learning, Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence, AWS Bedrock, SageMaker Proficiency in building and optimizing RAG systems for document retrieval and comparison. . Strong understanding of AI/ML concepts, including natural language processing (NLP), embeddings, model fine-tuning, and evaluation Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. . Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. . Knowledge of ethical AI practices and responsible AI frameworks. . Experience with CI/CD pipelines using Azure DevOps or equivalent tools Familiarity with containerized environments managed through Docker and Kubernetes. . Knowledge of Azure Key Vault, Managed Identities, and Azure Active Directory (AAD) for secure authentication. . Experience with PyTorch or TensorFlow. . Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. . Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . 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 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.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Key Responsibilities: Lead the implementation of end-to-end Generative AI projects utilizing Microsoft Azure AI and OpenAI. Design and build Generative AI applications using advanced methodologies such as Retrieval Augmented Generation (RAG). Automate various aspects of the overall RAG pipeline for Generative AI based applications. Design comprehensive solutions leveraging Generative AI, AI, and Machine Learning (ML) components. Gain hands-on experience working with Azure OpenAI services or other managed large language models (LLMs). Utilize AI/ML, search, and data services within the Azure ecosystem, including Azure OpenAI, AI Search, CosmosDB, and Azure Functions. Conduct thorough evaluation, validation, and refinement of results from Generative AI RAG-based applications. Set up robust monitoring, observability, and guardrails for Generative AI solutions to ensure responsible and ethical deployment. Develop and deploy applications using Python programming language, along with popular frameworks such as Flask and FastAPI. Apply expertise in AI/ML, deep learning, TensorFlow, and Natural Language Processing (NLP). Demonstrate excellent understanding of machine learning techniques and algorithms, including GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Deploy applications to Microsoft Azure or other cloud platforms.

Role & responsibilities Work mode : Hybrid Experience : 3-5 years(AM), 5-8 years(Manager) Budget : max 19 LPA(AM), 28 LPA(Manager) Mandates : Python, Django, Azure, AI/ML Checklist Have you built backend systems using Django Framework? Have you built end-to-end AI/ML solutions? Have you deployed the AI/ML pipelines in Azure cloud? Do you have hands-on experience in PostgreSQL Database? Do you have experience in AKS(Azure Kubernetes Service) Preferred candidate profile Position Summary We are seeking a skilled Python/Django Developer with deep expertise in Azure AI services. In this role, you will architect and implement backend systems, integrate AI/ML pipelines, and leverage OpenAI/Conversational AI capabilities to build scalable, production-ready solutions. You will contribute across the full development lifecyclecollaborating with product managers, data scientists, and frontend engineerswhile enforcing best practices in security, performance, and data privacy. Key Responsibilities Backend Development (Python & Django) Design, build, and maintain robust RESTful APIs and web services using Python and Django or Django REST Framework. Model and optimize PostgreSQL schemas and queries for high performance under production workloads. Write clean, well-documented code; implement unit, integration, and performance tests; participate in code reviews. Azure AI Service Integration Architect and deploy end-to-end AI/ML pipelines using Azure Machine Learning and Azure Cognitive Services (Vision, Speech, Language). Containerize and deploy trained ML models in Azure Kubernetes Service (AKS) or Azure Container Instances; monitor health, performance, and scalability. Implement automated CI/CD for model retraining, validation, and redeployment. Open AI LLM & Conversational AI Integrate Azure OpenAI Service and OpenAI APIs (e.g., ChatGPT, GPT-4, text embeddings) to enable functionality like summarization, Q&A, and conversational agents. Develop prompt-engineering standards, monitor token usage and cost, and fine-tune custom models (where applicable) for domain-specific needs. Build middleware that orchestrates AI calls, handles error/fallback logic, and ensures data privacy when routing requests to OpenAI endpoints. Full Lifecycle Delivery Lead requirement gathering, architectural design, and sprint planning within an Agile/Scrum framework. Continuously monitor, troubleshoot, and optimize both application code and deployed AI/ML models in production environments. Produce and maintain comprehensive documentation: API specifications, data flow diagrams, model versioning logs, and runbooks. Collaboration & Best Practices Partner closely with product managers to align technical solutions with business goals.

Job Summary: We are seeking an experienced AI Developer to design, develop, and deploy intelligent soluons using Microsos AI ecosystem. The ideal candidate will leverage low code/no code pla¢orms alongside tradi¢onal development approaches to create scalable AI applica¢ons that enhance business processes and user experiences. Key Requirements & Technical Skills Low Code/No Code Pla¢orms ¢ ¢ ¢ ¢ ¢ Prociency in Microso¢ Power Pla¢orm (Power Apps, Power Automate, Power BI) Experience with Azure Logic Apps for workow automa¢on Familiarity with other low code pla¢orms like Mendix, Outsystems, or Appian Ability to rapidly prototype and deploy solu¢ons with minimal coding Understanding of ci¢zen developer enablement and governance Azure OpenAI Services ¢ ¢ ¢ ¢ ¢ ¢ Handson experience with Azure OpenAI API integra¢on Knowledge of GPT models (GPT3.5, GPT4) and their capabili¢es Experience with prompt engineering and op¢miza¢on Understanding of token management, rate limi¢ng, and cost op¢miza¢on Familiarity with netuning and model customiza¢on techniques Knowledge of responsible AI prac¢ces and content ltering Microso¢ Copilot Ecosystem ¢ ¢ ¢ ¢ ¢ Experience with Microso¢ 365 Copilot integra¢on and customiza¢on Understanding of Copilot Studio for building custom copilots Knowledge of extending Copilot func¢onality through plugins and connectors Familiarity with Copilot for dierent applica¢ons (Teams, Word, Excel, PowerPoint) Experience with conversa¢on design and user experience op¢miza¢on Azure AI Services ¢ ¢ ¢ ¢ ¢ ¢ Prociency with Azure Cogni¢ve Services (Computer Vision, Speech, Language) Experience with Azure Machine Learning Studio Knowledge of Azure Bot Services and conversa¢onal AI Understanding of Azure AI Search (formerly Cogni¢ve Search) Familiarity with Azure Form Recognizer and Document Intelligence Experience with MLOps prac¢ces on Azure pla¢orm ### Addi¢onal Technical Requirements Programming & Development ¢ ¢ Strong programming skills in Python, C#, or JavaScript Experience with REST APIs and SDK integra¢on ¢ ¢ ¢ Knowledge of cloud na¢ve development pa¢erns Understanding of containeriza¢on (Docker, Kubernetes) Familiarity with DevOps prac¢ces and CI/CD pipelines Data & Analy¢cs ¢ ¢ ¢ ¢ Experience with data preprocessing and feature engineering Knowledge of vector databases and seman¢c search Understanding of RAG (Retrieval Augmented Genera¢on) pa¢erns Familiarity with data governance and privacy compliance Preferred Qualica¢ons ¢ ¢ ¢ ¢ ¢ ¢ Bachelors degree in Computer Science, AI, or related eld 3+ years of experience in AI/ML development Microso¢ Azure cer¢ca¢ons (AI102, AI900) Experience with enterprise scale AI deployments Knowledge of industry specic AI applica¢ons Understanding of ethical AI principles and bias mi¢ga¢on So¢ Skills ¢ ¢ ¢ ¢ ¢ ¢ Strong problem solving and analy¢cal thinking Excellent communica¢on skills for technical and nontechnical stakeholders Ability to work in agile development environments Con¢nuous learning mindset to stay current with rapidly evolving AI technologies Collabora¢on skills for cross func¢onal team environments This role oers the opportunity to work at the forefront of AI technology while bridging the gap between complex AI capabili¢es and accessible business solu¢ons through modern low code/no code approaches.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Experience: 8 + years Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Hybrid (Mumbai) Placement Type: Full time Permanent Position Must have skills required: Java, J2EE, JEE, JEE technologies, Angular, Mongo DB Job description Technical Lead Recruitment Solutions We are looking for a passionate Team Lead with 8+ years of experience to tackle some of the most meaningful problems in the recruitment space. You'll be at the forefront of building AI agents to transform recruitment workflows, designing next-generation candidate experiences, and revolutionizing how enterprises manage their hiring processes. As Team Lead, you'll guide development efforts toward successful project delivery while providing technical coaching and mentorship to your team. Your leadership will be crucial in maintaining high standards of software quality and identifying areas for growth and improvement within your team. Your code will have millions of eyeballs from 200 countries right from Azerbaijan to Australia and closer to home, you will help hire from Jhumritalaiya to Jammu. Key Responsibilities Guide team development efforts towards successful project delivery Provide technical leadership to teammates through coaching and mentorship Maintain high standards of software quality within the team by establishing good practices and habits Identify and encourage areas for growth and improvement within the team Collaborate with other software developers, business analysts, and software architects to plan, design, develop, test, and maintain web and desktop-based business applications Assist in the collection and documentation of user requirements, development of user stories, estimates, and work plans Design and implement scalable architecture to support data-intensive applications Oversee the deployment of applications to cloud providers like AWS or GCP Requirements 8+ years of experience developing software on a Java/J2EE and relational database stack Proven experience in leading technical teams and mentoring junior developers Strong expertise in designing scalable architecture to support data-intensive applications Mastery of technologies including Spring, Hibernate, SQL, and REST to design microservices-based architecture Experience in setting up and deploying applications to cloud providers like AWS or GCP Ability to harness AI as an engineering assistant to improve productivity and code quality Good to have Experience with frontend development - JavaScript frameworks like Backbone/Angular Data science experience - fetching data from multiple sources, modeling, and extracting information with familiarity in tooling, processing, and deployment (MongoDB, Hadoop, Mahout, Neo4j, etc.) Information security experience - OWASP Security principles and implementation Our Tech Stack Java, Spring, Hibernate, MySQL - RDS, MongoDB, Apache Solr, Spring Cloud, S3 - Angular 2, Backbone JS, Azure OpenAI. Our applications are hosted on AWS and GCP.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Arrow Electronics is seeking a highly skilled and experienced Microsoft Azure Architect to join our Cloud Engineering team at our Bangalore, India facility. The Azure Cloud Architect will be a technical subject matter expert in the IaaS/PaaS/SaaS Public Cloud domain, providing architectural guidance and hands-on implementation expertise. This role will also involve facilitating project management cycles, collaborating directly with Arrow's internal application services group, and maintaining a high level of technical aptitude in cloud and hybrid cloud solutions. The ideal candidate will possess excellent communication skills and a strong commitment to customer service. What You Will Be Doing : As an Azure Cloud Architect, your responsibilities will include: Azure Networking & Troubleshooting: Possessing deep expertise in Azure Private DNS Zones, Private Endpoints, ExpressRoute, and BGP routing, along with strong troubleshooting skills for complex network issues. Azure Best Practices: Designing and implementing scalable, secure, and cost-effective cloud solutions while strictly adhering to Azure best practices and architectural patterns. Landing Zones: Architecting and implementing robust Azure Landing Zones to ensure streamlined governance, enhanced security, and accelerated cloud adoption across the enterprise. Infrastructure as Code (IaC): Automating infrastructure provisioning and management using Terraform and Azure DevOps (ADO) pipelines . Azure Kubernetes Service (AKS): Designing, managing, and securing AKS clusters , including the implementation of Helm charts and GitOps workflows (e.g., ArgoCD, Flux). API Management: Managing Azure API Management (APIM) for secure API exposure, implementing OAuth, Managed Identities, and enforcing API security best practices. CI/CD Pipelines: Developing and managing comprehensive CI/CD pipelines through Azure DevOps for efficient infrastructure and API automation. Security & Identity: Implementing robust security measures, including RBAC, Azure Entra ID, B2C, and External ID , and enforcing Zero Trust security models . Security Automation: Implementing automated security remediations, integrating with security platforms like Wiz, and defining and enforcing governance policies. WAF/CDN Solutions: Working with Web Application Firewall (WAF) and Content Delivery Network (CDN) solutions such as Akamai and Azure Front Door for enhanced security and performance. Leadership & Mentorship: Mentoring junior team members, driving cloud automation initiatives, and encouraging continuous learning and certifications in Azure and AWS. RESTful APIs: Demonstrating a strong understanding of RESTful APIs and API Management operational mechanisms. Cost Optimization: Evaluating workload placements and architectures to optimize costs, performance, and security. Troubleshooting & Monitoring: Proficiently resolving technical issues, retrieving logs, and utilizing Application Insights for performance optimization and monitoring. Strategic Planning: Leading efforts to plan, engineer, and design cloud infrastructure, and evaluating, recommending, integrating, and coordinating enhancements. Cross-Functional Collaboration: Collaborating with IT Architects to ensure seamless integration of modified infrastructure, considering data conversion impacts, and addressing other areas of impact to meet project performance requirements. Infrastructure Development: Leading the development and configuration of infrastructure from conceptualization through stabilization, utilizing various computer platforms. Implementation & Verification: Leading the implementation of infrastructure by analyzing current system environments, using technical tools and utilities, performing complex product customization, and developing implementation and verification procedures. Resource Management: Leading routine infrastructure analysis and evaluation of resource requirements to maintain and/or expand service levels. Cost Estimation: Providing accurate cost estimates for new projects and initiatives. Documentation & Project Management: Collaborating in the creation of work/design documents, performing light project management for onboarding requests, collaborating on scheduling actions, and following change control processes. Financial Reporting (Assist): Assisting in show-back/charge-back documentation and reports. What We Are Looking For : Experience: Typically requires 12+ years of related experience with a 4-year degree; or 3+ years with an advanced degree; or equivalent work experience. Operating Systems: Prior experience supporting Microsoft and/or Linux operating systems in a corporate environment (on-premise or cloud) is required. Public Cloud IaaS: Prior experience designing and supporting IaaS infrastructure in a public cloud environment is strongly preferred. Azure Knowledge (Plus): Prior knowledge of Azure Active Directory, Conditional Access, and PowerBI is a plus. Azure Expertise (Plus): Prior experience with Azure IaaS, PaaS, Networking, and Security is a plus. Innovation: An innovative self-starter willing to learn, test, and implement new technologies on existing and new public cloud providers. Data & AI Services (Preferred): Experience with Databricks, Machine Learning via AKS, and Azure OpenAI Services is preferred. Soft Skills: A strategic thinker with excellent problem-solving, leadership, and communication skills, capable of influencing and collaborating effectively across teams. Arrow Benefits [Insert Arrow Benefits Information Here - e.g., We offer a competitive compensation package including medical, dental, vision, 401k, and paid time off. Learn more about our benefits at...

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients . Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant , Generative AI + Agentic AI ! In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface , Agentic AI, and Advanced Data Pipelines . It%27s platforms semantic kernel, autogen , langchain . Responsibilities Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives . Firm grasp on tools to compare outputs of each model and compare against each other. Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives . Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements. Qualifications we seek in you! Minimum Q ualifications / Skills B achelor&rsquos or M aster&rsquos degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch . Experience with Azure OpenAI, Open Source LLMs, and LangChain . Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Preferred Q ualifications / Skills Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Familiarity with NLP or computer vision related to generative AI applications. 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. For more information, visit Follow us on X , Facebook, LinkedIn, and YouTube. 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 .

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

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 S e n i o r M a n ager - AI Senior Engineer -Agentic AI! In this role, you%27ll be part of Genpact%27s transformation under GenpactNext , as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. In this role you&rsquoll be leveraging Azure&rsquos advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow , Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. Document AI and Data Extraction , Build AI-driven workflows for extracting structured and unstructured data fromLearning , receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval Optimize RAG workflows for large datasets and low-latency operations. Monitoring and Optimization - I mplement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Minimum Qualifications Proven experience with Machine Learning, Azure OpenAI, PrompFlow , Azure Cognitive Search, Azure AI Document Intelligence , AWS Bedrock, SageMaker Proficiency in building and optimizing RAG systems for document retrieval and comparison. Strong understanding of AI/ML concepts, including natural language processing (NLP ), embeddings, model fine-tuning, and evaluation Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. Knowledge of ethical AI practices and responsible AI frameworks . Experience with CI/CD pipelines using Azure DevOps or equivalent tools Familiarity with containerized environments managed through Docker and Kubernetes. Knowledge of Azure Key Vault, Managed Identities, and Azure Activ e Directory (AAD) for secure authentication. Experience with PyTorch or TensorFlow. Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. 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.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

We are seeking a highly experienced and technically adept Lead AI/ML Engineer to spearhead the development and deployment of cutting-edge AI solutions, with a focus on Generative AI and Natural Language Processing (NLP). The ideal candidate will be responsible for leading a high-performing team, architecting scalable ML systems, and driving innovation across AI/ML projects using modern toolchains and cloud-native technologies. Key Responsibilities Team Leadership: Lead, mentor, and manage a team of data scientists and ML engineers; drive technical excellence and foster a culture of innovation. AI/ML Solution Development: Design and deploy end-to-end machine learning and AI solutions, including Generative AI and NLP applications. Conversational AI: Build LLM-based chatbots and document intelligence tools using frameworks like LangChain , Azure OpenAI , and Hugging Face . MLOps Execution: Implement and manage the full ML lifecycle using tools such as MLFlow , DVC , and Kubeflow to ensure reproducibility, scalability, and efficient CI/CD of ML models. Cross-functional Collaboration: Partner with business and engineering stakeholders to translate requirements into impactful AI solutions. Visualization & Insights: Develop interactive dashboards and data visualizations using Streamlit , Tableau , or Power BI for presenting model results and insights. Project Management: Own delivery of projects with clear milestones, timelines, and communication of progress and risks to stakeholders. Required Skills & Qualifications Languages & Frameworks: Proficient in Python and frameworks like TensorFlow , PyTorch , Keras , FastAPI , Django NLP & Generative AI: Hands-on experience with BERT , LLaMA , Spacy , LangChain , Hugging Face , and other LLM-based technologies MLOps Tools: Experience with MLFlow , Kubeflow , DVC , ClearML for managing ML pipelines and experiment tracking Visualization: Strong in building visualizations and apps using Power BI , Tableau , Streamlit Cloud & DevOps: Expertise with Azure ML , Azure OpenAI , Docker , Jenkins , GitHub Actions Databases & Data Engineering: Proficient with SQL/NoSQL databases and handling large-scale datasets efficiently Preferred Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field Experience working in agile product development environments Strong communication and presentation skills with technical and non-technical stakeholders

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Experience: 4+ years of experience in AI and machine learning Expertise in Python: Demonstrable experience with Python, including its data science and AI libraries such as TensorFlow, PyTorch, spaCy, and GPT (OpenAI). Familiarity with other programming languages such as Java or C++ is a plus. Azure OpenAI and Cloud Services: Hands-on experience with Azure OpenAI services, and a good understanding of other Azure services such as Azure Machine Learning, Azure Functions, and Azure Logic Apps for integrating AI capabilities. LLM and NLP Techniques: Deep understanding of Natural Language Processing (NLP) techniques, including tokenization, sentiment analysis, entity recognition, and especially the mechanics and applications of Large Language Models (LLMs). Creative Prompt Design: Ability to craft and refine prompts that effectively guide LLMs in producing desired textual outputs. This includes understanding different prompt types, such as zero-shot, few-shot, and chain-of-thought prompting. Strong programming skills in Python and familiarity with AI development tools and libraries. Should have hands-on experience in deploying at least one end to end GenAI project Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skills Qualification We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. Key Responsibilities: Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills: Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations

Role & responsibilities Responsibilities: Develop and maintain backend services and web services using C#, Python, .NET, Flask, FastAPI, and Go code. Implement AI basics and basic prompt development for various applications. Create and manage Docker images, ensuring vulnerabilities are updated and automations are in place. Build function calling and actions for Azure OpenAI OnYourData. Collaborate with cross-functional teams to design and implement scalable and efficient solutions. Troubleshoot and resolve issues related to backend services and web services. Stay up-to-date with the latest industry trends and technologies to continuously improve our services. Requirements: Proven experience as a service developer with expertise in C#, Python, .NET, Flask, FastAPI, and Go code. Strong understanding of backend services and web services. Experience with Azure Kubernetes Service (AKS). Knowledge of AI basics and prompt development. Proficiency in creating and managing Docker images, and updating vulnerabilities. Ability to automate processes and workflows. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Experience with Azure OpenAI OnYourData. Familiarity with other programming languages and frameworks. Understanding of cloud computing and DevOps practices.

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.

Greetings!!! This is in regards to a Job opportunity for AI Engineer - Chatbot with Datamatics Global Services Ltd. Position: AI Engineer - Chatbot Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

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

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.

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling . Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence / Analytics with 12 years in Generative AI implementations . Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering , few-shot learning, and custom summarization models. Good understanding of data storytelling , narrative generation , and auto-generated insights . Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation) , LangChain , or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA) , and enterprise security standards . Familiarity with cloud platforms : Azure.

Role Responsibilities: Build and maintain Generative AI models using AWS and Azure AI services Design and deploy data pipelines for ML workflows Ensure secure and context-aware AI implementations Provide production support and optimize deployed models Job Requirements: Minimum 1 year of hands-on Generative AI project experience Strong understanding of AWS (Sagemaker, Lambda, API Gateway, S3) Familiarity with Azure AI services and Azure OpenAI Experience in production-grade ML/AI model support