82 Azure Openai Jobs - Page 2

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must . Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment.

Design and fine-tune AI apps using GPT, BERT, Azure OpenAI, and Cognitive Services. Build chatbots with Copilot Studio, RAG pipelines, vector DBs, Graph API, and M365 Plugins. Code in Python/Node.js with REST API integration. Required Candidate profile 5+ years of experience in AI/ML or Conversational AI Strong grip on prompt engineering and model fine-tuning Deep understanding of Microsoft’s AI ecosystem

We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor's or master's degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL.

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 Project Manager , Microso f t Power Auto mate We are seeking a skilled Agentic AI Implementation Developer to design, build, and deploy AI-powered autonomous workflows using Microsoft Copilot Studio and Azure AI Foundry. The ideal candidate will have strong hands-on experience with Power Automate, Power Apps, and Power BI, and a passion for building Agentic AI agents, human-in-the-loop agentic solutions that drive interactions between copilot studio agent and Power automate bots Responsibilities Design and develop Agentic AI solutions leveraging Microsoft Copilot Studio and Azure AI services (e.g., Azure OpenAI, Document Intelligence, Azure ML services ) . Build and orchestrate complex workflows using Power Automate, integrating AI agents, business rules, and APIs. Design custom canvas apps using Power Apps to support dynamic user interaction in agentic workflows. Build dashboards and telemetry monitoring in Power BI to track agent performance, exceptions, and KPIs. Work closely with business analysts and product owners to translate requirements into autonomous or semi-autonomous AI agent solutions. Integrate and deploy AI agents with Azure AI Foundry capabilities including prompt orchestration, memory, context management, and tool access. Support CI/CD using Power Platform Pipelines and adhere to ALM best practices. Collaborate across teams to ensure secure, scalable, and responsible AI implementation aligned with enterprise architecture. Other Requirements: Experience with Power Platform: Power Automate (Cloud & Desktop Flows), Power Apps, Power BI. Hands-on experience with POC&rsquos being driven experience in Microsoft Copilot Studio. Familiarity with LLM orchestration with Azure AI Foundry). Experience integrating external APIs, Dataverse, SharePoint, and third-party tools. Strong problem-solving and communication skills. Qualifications we seek in you! Minimum qualifications Microsoft Certified: Power Platform Developer Associate or equivalent certification. Experience with AI agent development frameworks using copilot studio for agent-based orchestration. Understanding of AI governance, model evaluation, and ethical AI practices. 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.

Responsibilities: * Lead ML projects from ideation to deployment using Microsoft tools. * Collaborate with cross-functional teams on project requirements and deliverables. Work from home

We are looking for a versatile Technical Architect with specialized knowledge in Large Language models, Generative AI, as well as Full-Stack Cloud Native Application Development and Cloud Engineering to be a part of our innovative product development team. As a Technical Architect, your main responsibility will be to contribute significantly to the development of strategic platforms, cutting-edge products, and creative solutions for our clients. This will involve leveraging the capabilities of LLMs, Generative AI, and Agentic AI in conjunction with Cloud Solutions and Cloud Native Full Stack Application Development. Your key focus areas will include defining technical architecture and solution design for custom product development to deliver impactful and innovative solutions that enrich our product range. The ideal candidate will possess a robust architecture background, a drive to explore the frontiers of technology, and a willingness to acquire new skills and technologies rapidly. Moreover, the ideal candidate will blend product development and cloud architecture expertise with contemporary Generative AI and LLM Solution Architecture and Design proficiencies. Key Skills Required: - Proficiency in Full Stack MERN App Development, encompassing Front-End and Back-End Development, API Development, and Micro Services. - Experience in Azure Cloud Native App Development and Cloud Solutions is essential. - Familiarity with AWS Cloud Native App Development and AWS Cloud Solutions is desirable. - Expertise in LLM Solutions and LLM App Development. - Knowledge of AI Agents, Agentic AI Workflows, and Enterprise Integrations. - Competency in Generative AI, Multi Modal AI, and Creative AI, including working with Text, Imagery, Speech, Audio, and Video AI. Responsibilities: - Establishing Cloud Architecture for cloud solutions and cloud-native app development. - Defining Technical Architecture for full-stack application development and bespoke product development. - Leading the translation of business and product requirements into technical architectures that balance architectural quality, scalability, cost-effectiveness, maintainability, and suitability for the intended purpose. - Collaborating with senior technology and engineering stakeholders to shape, define, refine, validate, review, and optimize proposed architectures. - Working with solution architects, development leads, full-stack developers, engineers, and quality engineers to develop and integrate solutions into existing enterprise products. - Collaborating with cross-functional teams to develop and validate client requirements and quickly translate them into functional solutions. - Utilizing best practices in architecture to shape and validate proposed solutions. - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions. - Overseeing the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services. - Leading the solution tech design and promoting the adoption of appropriate design patterns and best practices across all layers of the application stack. - Designing enterprise products and full-stack applications on the MERN stack with a clear separation of concerns across layers. - Creating web apps and solutions that leverage LLM models and Generative AI workflows. - Leveraging Multi Modal AI capabilities to support all content types and modalities such as text, imagery, audio, speech, and video. - Continuously researching and exploring emerging trends and techniques in Generative AI and LLMs to remain at the forefront of innovation. - Leading product development and delivery within demanding timelines. - Engaging hands-on with code and guiding hands-on development Proof of Concepts (PoCs) to validate new ideas, shape new solutions, and provide direction to the development team. Skills and Competencies: Must-Have Capabilities: - Expertise in architecting and designing full-stack applications using the MERN stack (JavaScript) for both client-side and server-side applications. - Strong knowledge of architecting and designing full-stack applications using Python-based development, including Python Apps for LLM integration. - Proficiency in programming languages and key design patterns for both front-end and back-end development. - Previous experience leading solution design across front-end and back-end development. - Experience in solution design across Data Processing, Data Integration, API integration, Enterprise Systems Integration, and Workflow Design. - Experience in designing scaled Gen-AI solutions in Production, including the use of LLMs and Multi Modal AI. JavaScript / MERN Stack Competencies: - Minimum 8 years of hands-on experience in designing and building Full-Stack MERN apps using client-side and server-side JavaScript. - Strong solution design experience across Front-End Web Apps and Web Development, especially apps built on React.js. - Strong solution design experience with API Definition and Design, Micro Services Architecture best practices, and microservices solution design. - Hands-on experience with Node.js and related server-side JavaScript frameworks (e.g., Express.js, Nest.js). - Experience in deploying full-stack MERN apps to a cloud platform like Azure. - Working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js. - Experience with BFF frameworks such as GraphQL. - Experience with API Management and API Gateways. Gen-AI / LLM Apps with Python Competencies: - Minimum 5 years of hands-on experience in designing and building Python-based apps and solutions. - Minimum 2+ years of hands-on experience in designing scaled Gen-AI solutions with LLMs and LLM models. - Strong experience in designing custom data solutions in Python, including data processing pipelines, data workflows, and integrating customer and enterprise datasets to enhance LLM knowledge. - Solid experience in designing end-to-end RAG pipelines using advanced pre-processing, chunking, embedding, and ranking techniques to enhance LLM output quality. - Solid experience in designing LLM Pipelines that integrate structured and unstructured datasets from various sources. - Good experience in designing AI-enabled workflows that automate content, creativity, and business processes. - Hands-on experience in Conversational AI solutions and chat-driven experiences. - Hands-on experience with multiple LLMs and models like GPT-4o, GPT o1, o3 mini, Google, Gemini, Claude Sonnet, etc. - Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and preferably AWS Bedrock and/or GCP Vertex AI. - Experience in designing solutions utilizing AI Assistants and threaded messages to orchestrate with LLMs. - Experience working with AI Agents and Agent Services. - Experience in building Agentic AI workflows for iterative improvement of outputs. - Experience in evaluating and enhancing AI outputs. Multi Modal AI Competencies: - Experience in designing intelligent document processing and document content extraction pipelines. - Experience in utilizing Multi Modal AI models for Imagery and Visual Creative, including LoRA models. - Experience in Computer Vision and Image Processing using Multi Modal AI. - Experience in leveraging Multi Modal AI for Speech, including Text to Speech and Custom Speech training. - Experience in using partner APIs to orchestrate across various Multi Modal AI models. - Ability to lead a team of development leads for delivering Full-Stack MERN Apps and Products/Solutions based on LLMs and LLM models. Nice-to-Have Capabilities: MERN Stack and Cloud-Native App Development: - Experience in working with a Federated Graph architecture. - Experience in working with container apps and containerized environments. - Working experience with Web Components and Portable UI components. Python / ML LLM / Gen-AI App Development: - Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions and frameworks. - Experience with different Agent communication and chaining patterns. - Ability to utilize LLMs for Reasoning and Planning workflows that enable automated orchestration across multiple applications and tools. - Ability to use Graph Databases and Knowledge Graphs as an alternative or replacement for Vector Databases to enable more relevant semantic querying and outputs via LLM models. - Solid background in Machine Learning solutions. - Fundamental understanding of Transformer Models. - Some experience in custom ML model development and deployment. - Proficiency in deep learning frameworks like PyTorch or Keras. - Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

As a Web Developer, you will collaborate with a cross-functional team to design, develop, and implement web applications using Python, Flask/Django, SQL, Azure OpenAI, and RAG implementation - Azure Open AI. You will demonstrate expertise in GenAI concepts and ensure writing clean, maintainable, and well-documented code. By conducting code reviews, you will provide constructive feedback to other developers and troubleshoot/fix bugs in existing applications. Optimizing application performance, ensuring scalability, and collaborating with UX/UI designers to implement visual elements will be crucial to enhancing user experience. Keeping up to date with industry trends and best practices in web development is essential. Your profile should include strong experience in web development using Python, Flask/Django, SQL, along with Azure OpenAI experience in creating agentic workflow/RAG implementation/AI Search. It would be advantageous to have knowledge of frontend technologies such as HTML, CSS, JavaScript, and frameworks like React. Expertise in backend development with Python and Flask/Django frameworks, solid understanding of relational databases, and proficiency in SQL are required. Familiarity with cloud technologies and services, specifically Azure, and experience with containerization technologies like Docker are beneficial. Experience with Azure OpenAI and RAG implementation - Azure Open AI is mandatory. Furthermore, a good understanding of software development fundamentals, industry best practices, strong problem-solving and analytical skills, excellent communication and collaboration skills, familiarity with version control systems like Git, and an understanding of agile software development methodologies are essential for success in this role.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

ServiceNow GenAI Architect / Lead Developer with 79 years of experience to lead AI-driven initiatives within the ServiceNow platform. This remote, full-time contractual role focuses on integrating Azure OpenAI with ServiceNow, implementing Now Assist modules, and enhancing ITSM/ITOM workflows using GenAI. The ideal candidate will architect and deliver scalable solutions that automate ticket summaries, knowledge article generation, and improve productivity through AI-enabled automation. Prior experience with Now Assist and Azure OpenAI is essential. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

Greetings!!! This is in regards to a Job opportunity for AI Lead - Agentic AI & RAG with Datamatics Global Services Ltd. Position: AI Lead - Agentic AI & RAG 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.

You are seeking a hands-on backend expert to elevate your FastAPI-based platform to the next level by developing production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. In this role, you will be responsible for various key areas: 1. Core Backend Enhancements: - Building APIs - Strengthening security with OAuth2/JWT, rate-limiting, SecretManager, and enhancing observability through structured logging and tracing - Adding CI/CD, test automation, health checks, and SLO dashboards 2. Awesome UI Interfaces: - Developing UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn 3. LLM & Agentic Services: - Designing micro/mini-services to host and route to platforms such as OpenAI, Anthropic, local HF models, embeddings & RAG pipelines - Implementing autonomous/recursive agents that orchestrate multi-step chains for Tools, Memory, and Planning 4. Model-Inference Infrastructure: - Setting up GPU/CPU inference servers behind an API gateway - Optimizing throughput with techniques like batching, streaming, quantization, and caching using tools like Redis and pgvector 5. NLP & Data Services: - Managing the NLP stack with Transformers for classification, extraction, and embedding generation - Building data pipelines to combine aggregated business metrics with model telemetry for analytics You will be working with a tech stack that includes Python, FastAPI, Starlette, Pydantic, Async SQLAlchemy, Postgres, Docker, Kubernetes, AWS/GCP, Redis, RabbitMQ, Celery, Prometheus, Grafana, OpenTelemetry, and more. Experience in building production Python REST APIs, SQL schema design in Postgres, async patterns & concurrency, UI application development, RAG, LLM/embedding workflows, cloud container orchestration, and CI/CD pipelines is essential for this role. Additionally, experience with streaming protocols, NGINX Ingress, SaaS security hardening, data privacy, event-sourced data models, and other related technologies would be advantageous. This role offers the opportunity to work on evolving products, tackle real challenges, and lead the scaling of AI services while working closely with the founder to shape the future of the platform. If you are looking for meaningful ownership and the chance to solve forward-looking problems, this role could be the right fit for you.,

ServiceNow GenAI Architect / Lead Developer with 7-9 years of experience to lead AI-driven initiatives within the ServiceNow platform. This remote, full-time contractual role focuses on integrating Azure OpenAI with ServiceNow, implementing Now Assist modules, and enhancing ITSM/ITOM workflows using GenAI. The ideal candidate will architect and deliver scalable solutions that automate ticket summaries, knowledge article generation, and improve productivity through AI-enabled automation. Prior experience with Now Assist and Azure OpenAI is essential. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

Job Title: Senior Generative AI Developer (Lead - Data Science) Gurgaon / Noida | 7-10 Years Experience About the Role We are looking for an experienced Senior Generative AI Developer to lead the design, development, and deployment of large-scale enterprise-grade GenAI systems. This is a hybrid role requiring both deep hands-on expertise and strategic leadership , working across multi-cloud environments and managing the full lifecycle of AI/ML systems. Key Responsibilities Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for performance-cost optimization. Design and scale training pipelines using FSDP, DeepSpeed on GPU/TPU clusters. Cloud-Native AI Development Build and manage multi-cloud GenAI platforms (Azure OpenAI, GCP Vertex AI, AWS Bedrock) with unified MLOps. Implement enterprise-grade security: VPC peering, private endpoints , and regulatory compliance (e.g., data residency). Innovation & Strategy Drive pioneering initiatives such as Agentic workflows , real-time fine-tuning, and synthetic data generation . Define and execute AI governance : model cards, drift monitoring, red-teaming protocols. Cross-Functional Impact Collaborate with product and business teams to define GenAI strategy and ROI metrics (e.g., automation cost savings). Mentor junior engineers and promote GenAI best practices across the organization. Required Qualifications Education : Bachelors/Master’s in CS, AI/ML, or equivalent experience. Experience : 5+ years in ML, 2+ years specifically in Generative AI. Technical Mastery Languages : Expert in Python Frameworks : PyTorch, TensorFlow Extended (TFX), ONNX Runtime Certifications : Azure AI Engineer Expert, GCP ML Engineer (preferred) GenAI Expertise Experience shipping production-scale GenAI systems (e.g., 10k+ QPS chatbots, GitHub Copilot-scale models). Mastery of advanced LLM techniques (LLM orchestration, guardrails, self-reflective prompting). Must-Have Experience Azure : Azure OpenAI, MLOps Pipelines, Cognitive Search GCP : Vertex AI Evaluation, Gemini Multimodal, TPU v5 Pods Built RAG systems using hybrid search (vector + keyword) and real-time data hydration Led AI compliance in regulated domains (finance, healthcare) Preferred Additions Experience with multi-cloud GenAI deployments (e.g., training on GCP, serving on Azure). Certification in Azure and/or GCP AI tracks. Exposure to autonomous agents, vector databases , and AI-driven business automation.

Job Title: AI Engineer Job Type: Contract Location: Offshore (Remote) Start Date: July 28th, 2025 Experience: 5+ Years Shift Time: Till 1 pm EST Duration: 18 weeks Job Responsibilities: Design and implement scalable Gen AI solutions on Azure to meet enterprise needs. Build and optimize AI-based search systems for content discovery and business use cases. Develop agentic AI frameworks capable of autonomous decision-making and task execution. Work on data and content refinement pipelines to improve model performance and output relevance. Collaborate with cross-functional teams including architects, data scientists, and DevOps engineers. Ensure best practices in AI governance, model monitoring, and security are followed. Qualifications Gen AI on Azure (Azure OpenAI, Azure ML, Cognitive Services) Generative AI-based search (e.g., vector search, RAG models, embeddings) Strong foundation in AI/ML principles Experience with data/content pipelines and processing Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) Preferred Experience: Proven track record in building agentic AI solutions Ability to work independently in a remote setting Experience in delivering short-term, high-impact AI projects

As an AI Innovation Engineer within the Business Process Automation team at Hitachi Energy, your role will involve designing AI-powered solutions to handle complex, repetitive, or decision-driven tasks. You will be responsible for creating and optimizing generative models such as GANs and VAEs for various applications like content creation and data augmentation. Additionally, you will work on developing AI solutions that integrate multiple data modalities to create cohesive and intelligent systems. Your responsibilities will also include developing and implementing POCs using MaaS platforms like Azure OpenAI and Google Vertex AI, configuring, training, and deploying AI Agents, and building APIs and pipelines to integrate AI capabilities into existing tools and workflows. You will collaborate closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems while translating technical concepts into actionable insights for both technical and non-technical audiences. To be successful in this role, you are required to have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field along with a minimum of 7 - 10 years of experience in AI and machine learning, with a strong focus on generative models, Agentic AI, and multimodal AI. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, and Keras is essential. Strong analytical and problem-solving skills, excellent communication and teamwork skills, and experience with project management methodologies and tools are also necessary for this position. It is crucial to stay updated on the latest trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces, to effectively contribute to the Shared Services automation initiatives at Hitachi Energy. Join us in advancing a sustainable energy future and be a part of a global team where Diversity + Collaboration = Great Innovation.,

- 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 looking for a Python Full Stack Developer with strong Azure DevOps and AI integration expertise to support the automation of Kanban workflows and real-time analytics in a scaled agile environment. You will design end-to-end automation for case management, build performance dashboards, and integrate AI-powered solutions using Azure OpenAI, Dataverse, and Power BI. The role requires a deep understanding of Python development, experience with Azure services, and the ability to collaborate with cross-functional teams to deliver high-quality solutions. Key Responsibilities: Develop Python applications to automate Kanban case management integrated with Azure DevOps (ADO) Build and maintain REST APIs with access control for project and workload metrics Integrate Azure OpenAI services to automate delay analysis and generate custom summaries Design interactive dashboards using Python libraries (Pandas, Plotly, Dash) and Power BI Store, manage, and query data using Dataverse for workflow reporting and updates Leverage Microsoft Graph API and Azure SDKs for system integration and access control Collaborate with IT security, PMs, and engineering teams to gather requirements and deliver automation solutions Continuously improve security workflows, report generation, and system insights using AI and data modeling Required Skills & Experience: 5+ years of Python development experience with FastAPI or Flask Hands-on experience with Azure DevOps , including its REST APIs Proficiency in Azure OpenAI , Azure SDKs, and Microsoft Graph API Strong understanding of RBAC (Role-Based Access Control) and permissions management Experience with Power BI , Dataverse , and Python data visualization libraries (Matplotlib, Plotly, Dash) Prior experience in Agile teams and familiarity with Scrum/Kanban workflows Excellent communication and documentation skills; able to explain technical concepts to stakeholders Benefits and Perks Opportunity to work with leading global clients Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities

:Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida

We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor's or master's degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL.

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 are seeking a skilled Python Developer with experience in developing applications that utilize Generative AI (GenAI) capabilities and deep integration with Microsoft Azure services. The ideal candidate should have a strong foundation in Python, experience with GenAI libraries or APIs (like OpenAI, Azure OpenAI, LangChain, etc.), and the ability to build, deploy, and manage AI-powered solutions in the Azure ecosystem. Qualifications Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or a related field(or equivalent practical experience in Python and AI application development)

Hiring a ServiceNow GenAI Architect / Lead Developer for a 6-month remote contractual engagement. The candidate must have 79 years of experience, with proven expertise in implementing and architecting GenAI-driven solutions within the ServiceNow platform. Key responsibilities include integrating Azure OpenAI with ServiceNow, implementing Now Assist modules, automating ticket summaries and knowledge article generation, and designing scalable AI-driven workflows within ITSM/ITOM modules. Strong background in ServiceNow GenAI features and AI integration is essential. Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

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 Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

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.