171 Azure Openai Jobs

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.

Role Overview: You will be responsible for designing, building, and deploying Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Additionally, you will develop scalable GenAI applications, integrate them with enterprise systems using APIs and SDKs, and fine-tune large language models (LLMs) for domain-specific use cases. You will also design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, collaborate with data scientists to productionize ML models, and automate deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Furthermore, you will ensure security, compliance, and governance of ML workflows and data, troubleshoot and optimize ML workflows, and document architecture, processes, and operational procedures. Key Responsibilities: - Design, build, and deploy Generative AI models using models like GPT, BERT, LLaMA, PaLM - Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs - Fine-tune and optimize large language models (LLMs) for domain-specific use cases - Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure - Collaborate with data scientists to productionize ML models using best practices in Azure MLOps - Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools - Implement scalable model training, validation, and deployment workflows in the cloud - Monitor model performance in production, retrain models as needed, and ensure security, compliance, and governance of ML workflows and data - Develop Python scripts and tools to automate tasks, troubleshoot and optimize ML workflows, and document architecture, processes, and operational procedures Qualifications Required: - Hands-on experience with transformer-based models (e.g., GPT, BERT, LLaMA, etc.) - Familiarity with tools like LangChain, LlamaIndex, Haystack, etc. - Experience in prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning - Proven experience in MLOps, specifically with Azure services - Strong programming skills in Python - Experience with Hugging Face Transformers, PyTorch or TensorFlow - REST APIs and/or gRPC for model integration - Experience with Azure Databricks, Azure Machine Learning, Azure OpenAI - Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch) - Experience building and managing CI/CD pipelines for ML models using Azure DevOps or equivalent tools - Building REST APIs for ML inference using frameworks like FastAPI or Flask - Understanding of containerization technologies like Docker and orchestration using Kubernetes - Knowledge of machine learning lifecycle management, model versioning, and deployment strategies - Experience with data engineering, data pipelines, and ETL processes on Azure - Familiarity with monitoring tools and logging frameworks for production systems - Strong problem-solving skills and ability to work in a collaborative, fast-paced environment,

As a skilled Technical Lead, you will be responsible for leading the end-to-end design and delivery of an AI-powered solution that combines NLP, anomaly detection, GenAI/RAG, and rule engines on a Cloud platform. Your role will involve owning the architecture, technical roadmap, and production reliability while guiding a cross-functional team comprising ML, Data Eng, Backend, DevOps, and QA professionals. Key Responsibilities: - Define the reference architecture including ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions - Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop - Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback - Design retrieval pipelines such as chunking, embeddings, vector namespaces, guardrails, and citation-based responses - Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage - Right-size SKUs, caching/batching, cost/per-token dashboards, SLOs for latency/throughput - Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews - Translate business policy into rule + ML ensembles, present options, risks, and trade-offs - Establish testing pyramid, performance targets, observability dashboards - Produce design docs, runbooks, SOPs, mentor engineers, uplift coding and review standards Skills Requirements: - 10+ years of software development experience, with at least 5 years leading AI/ML projects - Proficiency in supervised/unsupervised modeling, anomaly detection, NLP, OCR pipelines, and evaluation design - Experience with LangChain/LangGraph, embeddings, MLflow, Delta Lake, Python (FastAPI), and Azure services - Strong technical decision-making, cross-team coordination, and stakeholder communication skills Qualifications: - Bachelor's Degree in Computer Science or related science field or equivalent Preferred Skills: - Certifications in AI/ML disciplines - Hands-on experience with explainable AI and AI governance - Familiarity with regulatory compliance standards for financial data (Note: Additional company details were not provided in the job description.),

Role Overview: You will be joining as a Senior AI Architect in the Office of the CTO, where you will play a crucial role in designing, developing, and deploying AI and Machine Learning solutions using Python. Your primary focus will be to collaborate with enterprise customers to address critical business challenges by leveraging Azure's advanced AI capabilities. Key Responsibilities: - Lead hands-on design and development efforts using Python to create robust, scalable AI/ML solutions - Work closely with enterprise customers to strategize and implement AI-driven solutions leveraging Azure AI services - Translate complex requirements into practical technical solutions - Develop end-to-end prototypes, including data ingestion, processing, and model deployment using Azure platform components - Customize and optimize AI models for specific customer use cases - Integrate AI solutions with full-stack architectures, utilizing JavaScript frameworks and/or .NET ecosystems - Establish and maintain CI/CD and ML Ops pipelines for automated deployments - Explore diverse datasets to engineer features that enhance ML performance - Participate in all phases of the model lifecycle from conceptualization to continuous monitoring and improvement Qualifications Required: - Master's degree or higher, preferably with a specialization in Machine Learning, Data Science, or AI - Minimum of 10+ years experience as a technical solution architect with expertise in AI/ML development - Hands-on experience in Python development for building and deploying production-grade AI solutions - Successful delivery of cloud-native AI projects, preferably on the Azure platform - Expertise in deep-learning and Agentic AI frameworks such as Semantic Kernel, LangChain, LangGraph - Additional experience in JavaScript and/or .NET for full-stack solution design is preferred - Practical knowledge of Azure OpenAI, Azure ML, and AI Agent development frameworks - Proficiency in implementing automated deployments using Azure DevOps, GitHub, and understanding of MLOps practices - Strong communication skills to explain technical solutions clearly to diverse audiences - Analytical mindset with a focus on customer empathy and user-centric design Company Details: Microsoft's mission is to empower every individual and organization to achieve more. They value a growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusiveness. They are looking for professionals who align with these core values.,

As a highly skilled and visionary Technical Lead with 6-8 years of working experience on AWS & GenAI, you will be spearheading next-generation AI initiatives. Your role will involve deep expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions on cloud platforms. You will lead multiple GenAI projects, driving innovation from concept through deployment, ensuring robust, scalable, and efficient AI-powered applications. **Key Responsibilities:** - Lead the design, development, and deployment of GenAI projects leveraging Large Language Models (LLMs) on cloud platforms, primarily AWS. - Architect and implement scalable, event-driven cloud-native solutions using AWS Lambda, SNS/SQS, Step Functions, and related services. - Drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance. - Oversee fine-tuning, embeddings, and conversational flow development to build intelligent, context-aware AI applications. - Integrate and manage LLM APIs such as Azure OpenAI and other emerging models to deliver cutting-edge AI capabilities. - Utilize vector databases (ElasticSearch, Open Search, or similar) for embedding-based search and Retrieval-Augmented Generation (RAG). - Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards. - Collaborate with cross-functional teams including data scientists, engineers, and product managers to align AI solutions with business goals. - Mentor and guide technical teams on best practices in GenAI development and cloud architecture. - Stay abreast of the latest advancements in AI, cloud technologies, and LLM frameworks to continuously innovate and improve solutions. **Skills & Experience:** - Proven hands-on experience integrating Large Language Models (LLMs) into real-world applications. - Strong programming skills in Python and experience with web frameworks such as FastAPI or Flask. - Expertise in cloud architecture, particularly AWS services including Lambda, SNS/SQS, Step Functions, and event-driven design patterns. - Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI; familiarity with other models like LLaMA is a plus. - Experience working with vector databases such as ElasticSearch, Open Search, or other vector search engines. - Proficiency in prompt engineering techniques including prompt versioning, optimization, and chain-of-thought design. - Familiarity with LLM frameworks such as LangChain and LlamaIndex. - Experience with embedding-based search and Retrieval-Augmented Generation (RAG) methodologies. - Strong skills in model evaluation, including output analysis, performance tuning, and quality benchmarking. - Excellent leadership, communication, and project management skills.,

Job Overview: We are seeking a highly motivated, passionate, and customer centric Senior AI Architect to join the Office of the CTO . This is a hands-on, customer facing, technical role that requires deep expertise in AI and Machine Learning, specifically leveraging Python for end-to-end solution design, development, and deployment. Experience with JavaScript and/or .NET and Agent development frameworks like Semantic Kernel, LangChain, LangGraph is strongly preferred. You'll collaborate closely with enterprise customers to solve critical business challenges by leveraging Azure's cutting-edge AI capabilities, design and build AI solutions, implement robust data pipelines including Azure OpenAI, Azure ML, and other Large/Small Language Model (LLM/SLM) platforms. Our diverse, inclusive, and mission-driven team prioritizes innovation, collaboration, and continuous learning, focused on solving complex, real-world business challenges for enterprise customers.

Job description Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock fortext/audio/image/videomodalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker,FastAPI/Django/Flask,and Git.

We are looking for a talented Generative AI Developer to design and implement intelligent solutions that automate the modification and updating of Microsoft Word documents using GenAI models. The ideal candidate will have experience in natural language processing (NLP), LLMs, and document processing, and will work closely with product and engineering teams to deliver scalable and secure AI-powered document workflows. ________________________________________ . Develop GenAI-powered applications that can understand, modify, and generate content within Word documents. . Integrate LLMs (e.g., GPT, PaLM, Claude) with document processing tools and APIs (e.g., Microsoft Graph, Office.js). . Build intelligent workflows for tasks such as summarization, redaction, formatting, template filling, and content rewriting. . Fine-tune or prompt-engineer models for domain-specific document tasks. . Ensure solutions are secure, compliant, and optimized for performance. . Conduct testing and validation of AI outputs to ensure accuracy and reliability. . Stay updated with the latest GenAI advancements and apply them to improve document automation capabilities. . Hands-on experience with GenAI platforms (OpenAI, Google Vertex AI, Azure OpenAI, etc.). . Proficiency in Python and familiarity with libraries like LangChain, Transformers, or similar. . Experience working with Microsoft Word APIs and document formats (.docx). . Strong understanding of prompt engineering and model fine-tuning. . Excellent problem-solving and communication skills

As a Language Model Developer, your primary responsibility will be to develop and integrate Large Language Models (LLMs) into various applications. You will collaborate with stakeholders to ensure the design and development of cutting-edge language models that meet the project requirements. Your role will involve training and fine-tuning LLMs for specific Natural Language Processing (NLP) tasks using appropriate frameworks and tools. Your logical thinking abilities will be crucial in designing effective conversational flows to enhance the user experience within chatbot interactions. In addition, you will be expected to stay updated with the latest advancements in NLP, LLM, and Machine Learning (ML) fields. Your proactive approach to identifying opportunities for incorporating new technologies into solutions will be highly valued. If you are passionate about language models, enjoy working on innovative projects, and possess a strong analytical mindset, this role offers an exciting opportunity to contribute to the research and development of state-of-the-art language models.,

You are invited to join as a Senior LLM Engineer in Chennai at ConcertIDC. In this role, you will be responsible for owning the end-to-end delivery of Azure AI Studio and Azure OpenAI solutions while ensuring real-world governance and security. If you have experience in shipping RAG/agents to production and have a strong focus on evaluations, safety, and observability, we would like to have a conversation with you. If you are interested in this opportunity, please email your resume to hr@concertidc.com with the subject line "Senior LLM Engineer Chennai".,

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

RESPONSIBILITIES: Agent Development Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices.

You will be joining Strategy as a Senior AI Engineer I based in Pune office, working full-time for 5 days a week. Your role will involve developing, maintaining, and optimizing AI-driven applications using Python. You will be responsible for designing and building RESTful APIs with FastAPI, working on Large Language Models (LLMs) like OpenAI and Azure, interfacing with databases, implementing text embedding techniques for natural language processing, and deploying AI applications on cloud platforms such as AWS, Azure, and GCP. Your key responsibilities will include developing AI applications, ensuring code quality and maintainability through object-oriented programming and unit testing, building RESTful APIs for seamless integration, working with LLMs, interfacing with databases, deploying applications on cloud platforms, utilizing Docker for containerization, and collaborating with cross-functional teams using Git for version control. To qualify for this role, you should have a Bachelors/Masters degree in Computer Science or equivalent, at least 4 years of hands-on experience in Python software development for AI/LLM-based applications, proficiency in FastAPI for RESTful APIs, experience with LLMs, cloud platforms, Docker, and Git, strong analytical and problem-solving skills, and the ability to adapt in a fast-paced environment. The recruitment process will involve online assessments sent via email. Kindly check your SPAM folder for any relevant communications. If you are passionate about AI technologies, enjoy working with cutting-edge tools, and want to be part of a forward-thinking organization driving innovation in the financial industry, Strategy is the place for you. Join us in pushing the boundaries of analytics and redefining financial investment every day.,

As a Generative AI Architect with 5 to 10+ years of experience, you will be responsible for designing, developing, and deploying enterprise-grade GenAI solutions. Your role will require in-depth expertise in LLMs, RAG, MLOps, cloud platforms, and scalable AI architecture. You will architect and implement secure, scalable GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. Additionally, you will build RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, and ElasticSearch. Your responsibilities will also include leading prompt engineering, setting up evaluation frameworks for accuracy and safety, and developing reusable GenAI modules for function calling, summarization, document chat, and Q&A. Furthermore, you will deploy workloads on AWS Bedrock, Azure OpenAI, and GCP Vertex AI, ensuring monitoring and observability with Grafana, Prometheus, and OpenTelemetry. You will apply MLOps best practices such as CI/CD, model versioning, and rollback. Researching emerging trends like multi-agent systems, autonomous agents, and fine-tuning will also be part of your role, along with implementing data governance and compliance measures like PII masking, audit logs, and encryption. To be successful in this role, you should have 8+ years of experience in AI/ML, including 2-3 years specifically in LLMs/GenAI. Strong coding skills in Python with Hugging Face Transformers, LangChain, and OpenAI SDKs are essential. Expertise in Vector Databases like Pinecone, FAISS, Qdrant, and Weaviate is required, along with hands-on experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, and GCP Vertex AI. Experience in building RAG pipelines and chat-based applications, familiarity with agents and orchestration frameworks like LangGraph, AutoGen, and CrewAI, knowledge of MLOps stack including MLflow, Airflow, Docker, Kubernetes, and FastAPI, as well as understanding of prompt security and GenAI evaluation metrics like BERTScore, BLEU, and GPTScore are also important. Excellent communication and leadership skills for architecture discussions and mentoring are expected in this role.,

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generative AI applications, including RAG-based chatbots, leveraging LLMs, LangChain, LlamaIndex, and Azure OpenAI. MLOps & Deployment : Build, deploy, and monitor scalable ML pipelines using MLFlow, Kubeflow, ClearML, and Azure MLOps frameworks. Advanced Modeling : Deliver predictive modeling, deep learning, and NLP solutions using TensorFlow, PyTorch, BERT, and advanced ML algorithms. Data Visualization & Insights : Perform data analysis and develop interactive dashboards using Tableau, Power BI, Streamlit, and Matplotlib. Cloud & DevOps Integration : Collaborate with DevOps teams to automate ML workflows, optimize infrastructure with Docker/Jenkins, and ensure model scalability and reliability. Strategic Collaboration : Partner with business leaders to define AI strategy, drive data-driven decision-making, and deliver measurable business impact. Innovation & Research : Stay at the forefront of AI/ML advancements, applying emerging techniques to improve accuracy, efficiency, and scalability. Required Skills & Expertise Programming & Scripting : Python, PowerShell, Bash, Perl Machine Learning & Deep Learning : SVM, KNN, XGBoost, LSTM, TensorFlow, PyTorch NLP & Generative AI : Spacy, BERT, LangChain, LlamaIndex, LLOps frameworks Data Visualization : Tableau, Power BI, Streamlit, Matplotlib Cloud & MLOps : Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML, Kubeflow Databases & Big Data : MS-SQL, Data Preprocessing, Feature Engineering Qualifications Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field. 10+ years of experience in data science/AI, with at least 3+ years in a leadership role . Proven track record of delivering AI/ML solutions at scale in enterprise environments.

Key Responsibilities: Lead technical development of Azure-based applications. Collaborate with architects and product owners to define technical solutions. Develop, test, and deploy GenAI applications using Azure OpenAI and Microsoft Power Platform. Create and tune prompts for LLM use cases including chatbots, copilots, and content generation. Integrate GenAI APIs with enterprise systems (e.g., SharePoint, Dynamics, Dataverse). Support implementation of RAG pipelines with vector stores and Cognitive Search. Write scalable and maintainable backend components using .NET and Azure Functions. Must-Have Skills: Experience in Azure OpenAI (GPT-4, embeddings, prompt engineering) Proficiency in C#/.NET, Power Platform (Power Apps, Power Automate) Exposure to Copilot Studio or custom copilot development Familiarity with Azure Cognitive Services, Cognitive Search REST API integration and authentication using Azure AD Proficiency in JavaScript/TypeScript and backend languages (C#/Node.js/Python). Experience with: Azure Functions, Logic Apps, Azure App Services, Azure DevOps Strong grasp of RESTful APIs, CI/CD, Git, JSON, YAML. Knowledge of cloud architecture and deployment strategies. Ability to mentor junior developers and manage technical risks. Strong communication and collaboration skills.

Company Description Version 1 are a true global leader in business transformation. For nearly three decades, we have been strategically partnering with customers to go beyond expectations through the power of cutting-edge technology and expert teams. Our deep expertise in cloud, data and AI, application modernisation, and service delivery management has redefined businesses globally, helping shape the future for large public sector organisations and major global, private brands. We put users and user-centric design at the heart of everything we do, enabling our customers to exceed expectations for their customers. Our approach is underpinned by the Version 1 Strength in Balance model a balanced focus across our customers, our people and a strong organisation. This model is guided by core values that are embedded in every aspect of what we do. Our customers need for transformation is our driving force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners Oracle, Microsoft, AWS, Red Hat, and Snowflake help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique challenges they face. Our teams, made up of highly skilled, passionate individuals, act with agility and integrity. We continually invest in their development and foster a culture that encourages collaboration and innovation. This is a reflection of our Strength in Balance model, which emphasises a balanced focus on our customers, our people, and a strong organisation. Through our comprehensive range of Managed Service offerings, we take ownership of the tasks that distract Customers from what really matters; driving their business objectives and strategic initiatives. We enable them to save time, and reduce costs and risk, by continually improving your technology estates, ensuring they drive value for their business. Go beyond simply keeping the lights on and embrace the potential of our ASPIRE Managed Services that place AI, continuous improvement and business innovation at the heart of everything we do. From operational maintenance through to optimisation, we are trusted managed service experts with a sustainable, value-led approach and a wealth of industry sector expertise and experience. Job Description Onsite role, India Delivery Centre / Belfast / Dublin Full time position, 3-5 days per week in office (not shift) Department: ASPIRE Managed Services Practice: Services Reliability Group Vetting Requirements: N/A Role Summary Our ASPIRE Global Service Centre is the central hub of our Service Management operations. Beyond a traditional Service Desk, it stands as the central authority and shared service delivery hub, orchestrating all operational workflows, processes, procedures, and tooling. Its a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI, continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation, we utilise the best digital capabilities of the ServiceNow ITSM tooling product to provide the very best Experience to our Customers. We are seeking an experienced and results-driven AI and Automation Technician who will be responsible for the delivery and ongoing management of automation and artificial intelligence initiatives for ASPIRE Managed Services. This role will primarily be responsible for the design, and deployment of intelligent automation solutions to improve operational efficiency and productivity, enhance decision making, scale operations and deliver a competitive advantage in the market. Key Responsibilities Identify opportunities for AI and automation across all Managed Service functions, tooling and processes Delivery and technical implementation of automation and AI projects, including development, testing, deployment, and monitoring Ensure solutions are scalable, secure, and compliant with data privacy and ethical standards Evaluate and select appropriate tools, platforms, and vendors Collaborate with business units to understand pain points and co-create solutions Monitor performance and continuously optimise solutions Development of internal capabilities and knowledge sharing across teams Qualifications Skills, Education & Qualifications: Skills Proven experience delivering Microsoft AI-powered automation solutions for enterprise-scale infrastructure estates, including Windows, Linux, and multi-vendor databases. Expertise with Microsoft Azure AI and automation services, such as: Azure OpenAI for natural language-driven insights and recommendations Azure Machine Learning for predictive analytics and model deployment Azure Monitor, Log Analytics, and Sentinel for intelligent event correlation and alerting Azure Automation / Logic Apps / Power Automate for workflow orchestration and remediation Integration experience with enterprise platforms (e.g., ServiceNow, Salesforce) to enable automated incident creation, change management, and proactive service operations. Performance tuning and predictive infrastructure monitoring using ML models to forecast service degradation and automate remediation actions before user impact. Automation of patch management, configuration drift detection, and compliance enforcement across diverse systems and database platforms. Advanced use of AI/ML to correlate infrastructure events with engineer resource allocation for faster Mean Time to Resolution (MTTR) and improved preventative maintenance. Strong understanding of operational data pipelines, ensuring telemetry from multiple systems is normalised, enriched, and leveraged for actionable insights. Experience in AI-driven preventative maintenance strategies, reducing unplanned outages and optimising infrastructure performance at scale. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company&aposs profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. Show more Show less

Job Responsibilities: Lead end-to-end development of ML/DL models from data preprocessing to model deployment Design and implement advanced solutions using computer vision, NLP, and generative AI models (e g , Transformers, GANs) Apply and experiment with agentic AI approaches to build autonomous decision-making systems Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred) Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems Mentor junior data scientists and contribute to AI knowledge sharing across teams Desired Skill: 8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc Strong background in generative models (eg , LLMs, GANs, VAEs) and foundational ML techniques Expertise in computer vision, including object detection, image classification, and segmentation Experience in implementing agentic AI systems using modern orchestration tools and frameworks Hands-on experience with Azure AI services (e g, Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling) Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring) Strong analytical, problem-solving, and communication skills Value Add (If Any): Should have worked as a Team Leader Purely Data Science profile with ML, GenAi, Python exp Good exp in GenAI, ML Notice period- Immediate Qualification : Any Tech degree, masters Candidates should report in office for a period of 6 months, later it will can be a Hybrid work mode 1 round of interview F2F must, 2 Technical, 1 Project Delivery exp is a must Should know about project deliverables Should have at least 3 project deliveries, real time Notice Period : Immediate to 15 days

As an AI Engineer I at our company based in Pune H.O, Maharashtra, you will be responsible for developing and optimizing AI-driven applications using Python. Your expertise in Python programming, REST API development, cloud infrastructure, and AI model integration will be essential in contributing to the development of AI-powered solutions. Your role will involve collaborating with cross-functional teams and utilizing your strong problem-solving skills to ensure the efficient deployment of AI applications on cloud platforms such as AWS, Azure, and GCP. Key Responsibilities: - Develop, maintain, and optimize AI-driven applications using Python, focusing on modular, scalable, and efficient coding. - Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. - Design and build RESTful APIs with FastAPI for seamless integration of AI services. - Interface with relational and vector databases for efficient AI data retrieval and storage. - Implement text embedding techniques to enhance AI-powered natural language processing tasks. - Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP using Docker for containerization. - Collaborate with cross-functional teams using Git for version control and code management. Qualifications: - Bachelors/Masters degree in Computer Science or equivalent. - 2-3 years of hands-on experience in Python software development for AI/LLM-based applications. - Experience in developing and maintaining RESTful APIs using FastAPI, interfacing with relational databases, and implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and Docker for AI deployment and scaling. - Strong Git skills for version control and collaborative development. - Ability to thrive in a fast-paced environment with changing priorities. - Strong analytical and problem-solving skills. If you meet the above qualifications and are looking to join a dynamic team working on cutting-edge AI technologies, we encourage you to apply for this position.,

We are looking for an experienced and innovative AI Product Lead to shape and execute our AI product strategy within the construction and built environment sector. Your role will involve developing tools that utilize generative AI, data extraction, and specialized knowledge to enhance workflows, ensure compliance, and facilitate decision-making in civil, MEP, and architectural fields. In this senior leadership position within a dynamic and hands-on setting, you will oversee product development for various AI projects, such as the Knowledge Engine and Review Engine. Additionally, you will be involved in business planning, product commercialization, and engaging with customers to address real-world construction challenges effectively. Your responsibilities will include owning the AI product vision and roadmap, aligning them with business goals and evolving customer requirements. You will lead the entire product development lifecycle of AI solutions, collaborating with engineering, UX, domain experts, and delivery teams to deliver impactful features. User discovery activities with internal stakeholders and pilot customers will be conducted to validate use cases, usability, and return on investment. Furthermore, you will work on creating financial models, pricing structures, and business cases for proposed tools or features, as well as developing go-to-market strategies and adoption plans. Staying abreast of AI advancements, especially in multimodal models, compliance automation, and industry-specific ontologies, will be crucial. Ensuring the scalability, reliability, and maintainability of solutions in enterprise environments is another key aspect of the role. Your qualifications should include a total of 15 years of experience, with over 10 years in product leadership roles within B2B technology, enterprise software, or infrastructure sectors. You should have a track record of successfully delivering AI-enabled or data-centric products, particularly in regulated industries like construction and engineering. Strong financial acumen, excellent communication skills, and experience with modern AI technologies are essential. Familiarity with construction documents, standards, and workflows is advantageous, along with experience leading cross-functional teams using Agile/Scrum methodologies. Preferred qualifications include exposure to tools like Azure OpenAI, Revit, IFC, or AutoCAD in production environments, as well as experience delivering solutions for enterprise-secured environments. Additionally, the ability to contribute to technical solutioning and vendor/platform evaluations is beneficial. Join us and be part of a pioneering team that is revolutionizing the built environment with AI tools. Lead impactful projects that enhance efficiency and intelligence in infrastructure and design workflows, with the autonomy to shape and scale the product strategy. Collaborate with experienced professionals who are dedicated to shaping the future of construction.,

As a Training Program Developer specializing in Artificial Intelligence and Machine Learning, your primary responsibility will be to develop, design, and deliver comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. You will be creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their applications is a crucial part of your role. Your role will also involve staying updated with the latest advancements in AI, ML, and Generative AI technologies to continuously enhance and customize the training curriculum. Additionally, you will provide expert guidance and support to clients and internal teams on AI and ML projects, including best practices, implementation strategies, and troubleshooting. Collaboration with consulting teams to align training content with the latest features and updates in Azure AI and related technologies is essential. In this position, you will be responsible for assessing the effectiveness of training programs through feedback and evaluation, making necessary improvements to ensure high-quality learning experiences. Moreover, mentoring and coaching junior trainers and team members to build a strong and knowledgeable training team will be part of your role. To qualify for this role, you should possess a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A minimum of 5 years of experience in AI, machine learning, and deep learning, focusing on Azure AI, Azure OpenAI, and related technologies is required. Strong expertise in Open-Source large language models (LLMs), Generative AI, and applied Generative AI technologies is essential. Proficiency in using Azure services and tools like Azure Machine Learning, Azure AI Services, and Azure OpenAI is crucial. Hands-on experience with Python/C#, APIs, Notebooks, popular IDEs, and Frameworks like TensorFlow/PyTorch is necessary for this role. Excellent presentation and communication skills, along with the ability to explain complex concepts clearly and concisely, are vital. Experience in designing and delivering technical training programs, both in-person and virtual, is also required. Strong problem-solving skills and the ability to provide practical solutions to technical challenges are expected. A passion for teaching and sharing knowledge, coupled with a commitment to continuous learning and professional development, is highly valued. Preferred qualifications for this role include knowledge of multiple Hyper-scalers like Azure, AWS, or GCP, certifications in Azure AI, Azure Machine Learning, or related areas, experience in developing AI and ML applications using Python, TensorFlow, PyTorch, or similar frameworks, knowledge of AI ethics, responsible AI practices, and regulatory considerations in AI deployment, as well as familiarity with DevOps practices and tools for AI and ML projects. In addition to the technical qualifications, key personal attributes that will contribute to your success in this role include strategic and process-oriented thinking, great communication and interpersonal skills, a relentless learner with a passion for new technologies, self-motivation with eagerness to bring in new ideas for training and development, and an attitude of taking proprietorship of tasks.,

About the team Are you passionate about shaping the future of AI Join us-Responsible AIgroup inAzure AI Platform. We ensure Microsoft ships AI systems that are safe, secure, and trustworthy-empowering every person and organization on the planet to achieve more. Our team sits at the intersection of cutting-edge AI research and planet-scale production systems, powering technologies like GitHub Copilot and Azure OpenAI. You'll buildAzure AI Content Safety and RAI service integrated intoAI Studio, Azure OpenAI, AML, Cognitive Services, etc. Our mission is to empower developers and data scientists around the world and of all skill levels to easily add responsible AI capabilities to their applications. In this panel, you will have the opportunity to learn how we can protect our world, keep AI from harming everyone's lives, and apply the most advanced technologies to achieve our mission.You willfocus on identifying , measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content, as well asdetectingabusivecustomersto prevent them frommisusing Microsoft AI products. We are looking for talents who are passionate about building customer-facing AI services with excellent customer experience, scalable and sustainable architecture, implementation and with high performance, low latency, and high availability. Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Job description * ONLY BELOW 30 DAYS JOINERS LOKKING Role & Responsibilities: Design, develop and maintain scalable, robust .NET Core Web APIs. Build dynamic, responsive, and interactive web UIs using Angular/React. Collaborate closely with UI/UX designers, backend developers, and product managers. Work on Azure Cloud development including services like Azure Cognitive Search, Azure Open AI, Azure AI Search. Mentor junior developers and participate in code reviews. Ensure high performance, security, and responsiveness of applications. Deliver quality code with minimal defects, on-time and aligned with business objectives. Communicate effectively with stakeholders and demonstrate ownership of deliverables. Contribute to innovation and improvement of development processes. Adapt to changing requirements and demonstrate proactive problem solving. Preferred Candidate Profile: hands-on experience in full-stack development using .Net Core, Web API, Angular/React. 2+ years of hands-on experience with front-end technologies (JavaScript, HTML, CSS). Strong experience with Azure cloud and various Azure services (minimum 2 years). Knowledge of Generative AI or Azure OpenAI services is a strong plus. Strong problem-solving skills, attention to detail, and a proactive mindset. Excellent communication and collaboration skills.