2714 Openai Jobs - Page 13

Client Type: US Client Job Type: Remote The hourly rate is negotiable. About the Role We are seeking a dynamic and knowledgeable Subject Matter Expert (SME) to play a key role in the development and delivery of a certification program focused on AI Agent technologies. The successful candidate will leverage their deep expertise in Microsoft AI tools and platforms to shape the curriculum, create training materials, and empower learners with practical skills in AI Agent development and deployment. This role requires a strong passion for education, excellent communication skills, and the ability to effectively convey complex technical information. Responsibilities: Collaborate with a team of learning experience designers to help create and validate training materials. Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements. Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience. Review a detailed program outline, ensuring alignment with the high-level program outline, and helping to confirm that content is presented in the correct order and format. Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate. Support creation of content-specific graphics such as tables, flow charts, screen captures, etc. Create any assets required to make demonstrations that showcase specific procedures and skills. Create recordings of software demonstrations and related audio scripts. Coordinate with learning experience designers to build out the assets, steps, and technical elements needed for hands-on projects such as exercises, labs, and projects. Be available during US business hours, M-F, for content reviews, questions, and occasional meetings. Work on the company's systems for all work, including email, messaging platform, and cloud-based file storage systems. Log time weekly and invoice time monthly. Essential Tools & Platforms Azure AI Foundry Azure AI Agent Service Azure OpenAI Service (e.g., GPT-40, GPT-3.5 Turbo) Semantic Kernel AutoGen Azure Machine Learning (AML) Microsoft Copilot Studio Azure Logic Apps Power Automate Azure Functions Azure AI Services (including Azure AI Language, Azure AI Speech, Azure AI Vision, Azure AI Document Intelligence, Azure AI Search) Azure Bot Framework Azure Monitor Azure DevOps Visual Studio Code Azure API Management Required Skills & Experience Proven hands-on experience designing, building, testing, and deploying complex AI agents and multi-agent systems on Microsoft Azure. Extensive practical experience implementing agent capabilities such as tool use (function calling), retrieval-augmented generation (RAG), memory management, and conversational flows using tools like Semantic Kernel, AutoGen, Azure AI Agent Service, and Azure OpenAI. Demonstrated ability to integrate various Azure AI Services (e.g., Azure AI Search, Azure AI Vision, Azure AI Language, Azure AI Document Intelligence) as functional tools for AI agents to interact with external data and capabilities. Experience designing and implementing agent orchestration and workflow automation using Azure Logic Apps, Power Automate, or Azure Functions in conjunction with AI agents. Practical experience with deploying and managing AI agent solutions on Azure infrastructure, potentially including Azure Machine Learning endpoints, or integrating with services like Azure Bot Framework or Microsoft Copilot Studio. Familiarity with monitoring, logging, and debugging AI agent performance and interactions using tools like Azure Monitor. Understanding and practical application of MLOps principles for AI agents, including version control (GitHub/Azure DevOps) and potential CI/CD pipelines for agent updates or deployments. Experience working with vector databases (like Azure Cosmos DB for MongoDB vCore with vector search or integrating with Azure AI Search vector capabilities) for implementing RAG in agent systems. Experience in reviewing training materials for technical accuracy and clarity. A strong understanding of adult learning principles is a plus. Essential experience in training, learning, and development, or teaching. Proven ability to create and deliver effective screencasts and video tutorials. Strong ability to articulate complex technical concepts in an accessible manner. Availability to work during the US time zones' business hours. Qualifications Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related technical field. 5+ years of hands-on experience designing, building, and deploying complex AI agents and multi-agent systems on Microsoft Azure, including proficiency in RAG, tool use, and memory management with tools like Azure AI Agent Service, Azure OpenAI, Semantic Kernel, and AutoGen. Microsoft Certified: Azure AI Engineer Associate (AI-102) and ideally Microsoft Certified: Azure Developer Associate (AZ-204). Demonstrable expertise with key Azure services for AI agents, such as Azure AI Foundry, Microsoft Copilot Studio, Azure Machine Learning, Logic Apps, Power Automate, Azure Functions, Azure AI Services (Search, Language, Vision, Document Intelligence), and Azure Monitor. Practical understanding and application of MLOps principles for AI agents, including version control (Azure DevOps/GitHub), CI/CD pipelines, and experience with vector databases for RAG. 2+ years of experience in technical training, learning & development, or teaching, with a proven ability to create, review, and deliver high-quality, technically accurate training materials (e.g., course outlines, hands-on exercises, video tutorials). Exceptional technical communication skills, including the ability to articulate complex concepts clearly to diverse audiences and a strong understanding of adult learning principles. Understanding of responsible AI, bias mitigation, and security best practices in AI pipelines. Strong problem-solving, debugging, and communication skills.

Notice Period : Immediate to 15Days Location - Hyderabad (On-Site) Need 4+ Years of experience Role Overview We are looking for a highly skilled Data /AI/ML/Gen AI Scientist to join our dynamic team. This role is crucial in developing and implementing cutting-edge AI products and solutions, enabling businesses to unlock the full potential of AI and ML. The ideal candidate will have a strong background in Python, experience with cloud platforms, and a solid understanding of various AI concepts. Key Responsibilities Develop and implement innovative AI and ML models to solve complex business problems. Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Huggingface). Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research and development to stay updated with the latest advancements in AI and ML. Engage with clients to understand their needs and provide tailored AI solutions. Lead and mentor junior team members, fostering a collaborative and innovative work environment. Ensure continuous learning and development to keep up with the fast-paced AI industry. Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills And Qualifications Proficiency in Python Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. Strong understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. Comfortable working in a fast-paced environment with rapid prototyping. Experience with client engagement and leading teams is a plus. Proven track record in building products/solutions using cutting-edge AI models and tools. Skills: scikit learn,gcp,pandas,nlp,azure,edge,platforms,transformer,api,flask api,aws,ml,openai,deep learning,ml models,learning,generative ai,concepts,cv,data,cloud,fast api,python,pytorch,models,huggingface

Job Title: Python GenAI Developer Location: Remote About the Role: We’re seeking a skilled Python GenAI Developer to build and scale Generative AI solutions using LLMs, diffusion models, and modern ML frameworks. Key Responsibilities: Build Python apps leveraging GenAI models and integrate LLM APIs (OpenAI, Cohere, Anthropic). Fine-tune open-source models using Hugging Face. Collaborate with ML teams to create training/inference pipelines. Design prompt strategies and ensure engineering best practices (CI/CD, testing). Optimize models for latency/memory. Translate business needs into scalable solutions. Implement RAG pipelines (LangChain, LlamaIndex), LLM evals (Prompt Flow, Langfuse), and observability tools (Galileo, PromptLayer). Ensure app reliability, performance, and cost-efficiency. Must-Have Qualifications: Proficient in Python, OOP, REST, Git, Docker, and CI/CD. Strong experience with LLMs, prompt engineering, LangChain, LlamaIndex, FastAPI. Familiarity with PyTorch, Transformers, Hugging Face, RAG strategies, and cloud deployment (AWS, Azure, GCP). Knowledge of LLMOps (monitoring, latency optimization). Skilled in building and evaluating ML/NLP models with human-in-the-loop feedback. Good-to-Have: Vector DBs (FAISS, Pinecone), agentic workflows (LangGraph, AutoGen). Real-time streaming AI apps. Open-source GenAI contributions. Front-end knowledge: React, Streamlit, Gradio. Soft Skills: Strong analytical, collaborative, and problem-solving skills. Proactive learner with excellent communication.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft 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 Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

We’re looking for a doer-level AI Agent Generalist to join the Founder’s Office. This isn’t a research role. This is a hands-dirty, move-fast role. You'll work directly with the Founder to: Explore, experiment, and implement cutting-edge AI tools across the company. Build simple to mid-level automations, agents, and workflows using existing tools and APIs. Drive adoption of AI into every department — from creative to operations, from media buying to reporting. Be the go-to person for AI experiments, prototypes, workflows, and agent builds . What You'll Do: Audit current workflows across teams and identify AI intervention points. Rapidly prototype automations, AI tools, and agents to improve team efficiency. Train and enable teams to adopt AI tools effectively. Continuously evaluate the evolving AI tools landscape — and run fast experiments. Help build internal AI systems using GPTs, agents, workflows (e.g., LangChain, AutoGPT, Zapier, Make). Build dashboards, reports, and insights using AI-powered analytics tools. Act as the Founder’s right hand for all-things-AI — always testing, always moving. You’ll fit in if you are obsessed with AI and have been hands-on with tools like: OpenAI (ChatGPT, GPTs, API, Assistants API) Zapier, Make, Notion AI, N8N, Airtable, Bardeen, ElevenLabs, Runway, Perplexity, etc. Bonus: Some knowledge of LangChain , Vector DBs (like Pinecone/Weaviate) , or no-code AI builders. Have a strong understanding of LLMs, agents, APIs, prompts, embeddings, workflows. Are curious, agile, and impatient to implement instead of planning endlessly. Can break complex systems into workflows and solve using first principles. Are a natural builder — not afraid to test, fail, and ship fast. Can work directly with the Founder - strong communication, low ego, high ownership. Must Haves: Technical comfort — no formal coding needed, but basic scripting/API knowledge is a plus. Proven track record of building or using AI tools in real-world use cases. Ability to prioritize impact over perfection — speed is more important than polish. Comfortable in a fast-paced, ambiguous, high-autonomy environment.

ROLES & RESPONSIBILITIES Key Responsibilities: Develop robust, scalable Python-based applications aligned with company requirements. Integrate and implement Generative AI models into business applications. Design, build, and maintain data pipelines and data engineering solutions on Azure. Collaborate closely with cross-functional teams (data scientists, product managers, data engineers, and cloud architects) to define, design, and deploy innovative AI and data solutions. Build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuously research and evaluate new AI and Azure data technologies and trends to enhance system capabilities. Participate actively in code reviews, troubleshooting, debugging, and documentation. Ensure high standards of code quality, performance, security, and reliability. Required Skills: Advanced proficiency in Python programming, including libraries and frameworks like Django, Flask, FastAPI. Experience in Generative AI technologies (e.g., GPT models, LangChain, Hugging Face). Solid expertise in Azure Data Engineering tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. Familiarity with AI/ML libraries such as TensorFlow, PyTorch, or OpenAI API. Experience with RESTful APIs, microservices architecture, and web application development. Strong understanding of databases (SQL, NoSQL) and ETL processes. Good knowledge of containerization and orchestration technologies like Docker, Kubernetes. Strong problem-solving, analytical, and debugging skills. Preferred Qualifications: Bachelor's/master’s degree in computer science, Engineering, or related fields. Prior experience developing AI-enabled products or implementing AI into applications. Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps. Soft Skills: Strong communication and teamwork skills. Ability to work independently and proactively. Passion for continuous learning and professional growth. Location: Gurgaon, Noida, Pune, Bengaluru, Kochi EXPERIENCE 4.5-6 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Python, Azure Data Factory, Python-Django

Technology Gurgaon, India Publicis Re:Sources India Intermediate On-Site 7/7/2025 114974 Company description Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview Title Full-stack Developer: React, Node, .NET Skills (must have) Experience in developing web applications and customer-facing integrations using C#, .NET 7.0+/CORE, SQL/No SQL, Web API, React, Node Exposure to various GenAI models from OpenAI, Google Gemini etc. Technical Design, development, and support web applications, and API frameworks. Knowledge in Azure Stack and deployment procedure and CI/CD Experience in Git code repo Skills (good to have) Microservice and Event-Driven architectures API and Web applications development using Python, Django, Flask Responsibilities Hands on Experience in C# .NET Core and CosmosDB Hands on Experience in .NET, .NET Core Web Application Development, Web APIs Experience in React, AngularJS, NodeJS In-depth knowledge of Web Application Life Cycle Good understanding of REST APIs, Data Structures. Must have knowledge on CI/CD Must have knowledge on SharePoint Good debugging and analytical skills. Must know about design patterns Must have experience with code reviews. Must know about different types of caching strategies Can analyze client requirements and propose ideal solutions. Good communication skills and the ability to explain situations as clearly and briefly as possible via email/phone/in-person to peers, Leadership, and customers.

Technology Gurgaon, India Publicis Re:Sources India Intermediate On-Site 7/7/2025 115065 Company description Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview Title GEN AI and Machine Learning Engineer Skills (must have) Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) Skills (good to have) Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus Responsibilities Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills And Attributes 4-6 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-6 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes: Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain and Semantic Kernel. Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. Knowledge of cloud computing and Azure infrastructure. Craft precise and effective prompts to guide AI models and improve their outputs. Monitor and analyse Azure AI costs to ensure efficient resource utilization. Develop and integrate custom tools within AI agents to extend their capabilities. Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. Collaborate with data scientists and machine learning engineers to deploy AI models into production. Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: Overall 4+ years of experience in Azure, .NET Core, Python and M365 suite of products. Min 2 years of experience in developing Generative AI applications using Azure OpenAI. Proficiency in languages like C#, Python, JavaScript, and TypeScript. Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. Understanding of CI/CD pipelines and DevOps practices. Strong problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Desired Skills: Knowledge Low code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. Understanding of cloud-native development principles and microservices architecture. Experience with containerization technologies like Docker and Kubernetes. Understanding of security best practices for cloud applications. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4+ years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Our Company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do: In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product. Job Responsibilities: Contribute to the design and development of software components that enable autonomous AI agents to reason, plan, act, and learn. Implement features that support agentic capabilities such as tool use, memory, long-term planning, task execution , and self-reflection. Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen). Write, test, and debug Python or other backend code that powers agent workflows in cloud-native environments. Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications. Participate in Agile development workflows — sprint planning, code reviews, retrospectives — and collaborate across AI, product, and engineering teams. Work with structured and unstructured data to support context-aware reasoning and decision-making in agents. Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors. Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP). Maintain documentation of agent capabilities, system design, and integration strategies. What makes you a qualified candidate: 1–3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications. Strong interest in Agentic AI — systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes. Familiarity with one or more programming languages: Python (preferred), Go, Java, or C++. Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of prompting, embeddings, or vector databases . Basic understanding of how AI agents use tools and memory to solve complex tasks. Experience with RESTful APIs, backend service design, and microservice architectures. Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications. Ability to write clean, testable code and follow best practices in code reviews and version control. Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams. Passion for learning emerging AI techniques and contributing to real-world agentic applications. What you will bring: BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field. Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming. Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker. Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools. Curiosity and excitement about building intelligent systems that act autonomously and adaptively . A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities. Why we think you will love Teradata: We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. #LI-NT1

Company Overview Bain & Company is one of the top management consulting firms in the world that helps the world’s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. The firm established several functions in the Indian market early 2000s and its remit across functions has expanded over time. Since 2019, these functions have become part of Global Business Services (GBS). Global Business Services (GBS) is a network of five interconnected business-function hubs across India, Poland, Malaysia, Mexico and Portugal, serving Bain globally to run our business, support other functions, and help drive innovation internally. We are over 1000 business professionals – serving functions in operations, HR, finance, legal, tech, marketing, research, and data analytics – who support our offices globally. Our mantra of “shared innovation, seamless execution,” underpinned by a passion for results, teamwork, and creativity, helps Bain stay at the top of our game operationally. Team Summary This position works as a member of Bain’s Software Development group directly supervising and supporting the external/internal engineers on multiple software products part of our Software Operations team. Individuals in this role would also be responsible for defining the on-going technical roadmap with product owners for the software systems supported by the team and influencing the choice of technologies and frameworks implemented by the engineers. Position Summary: Technical Delivery (50%) Hands-on approach with a natural inclination to get directly involved in coding whenever the situation demands. Manage vendor and stakeholder relationships to ensure strong external partnerships and delivery accountability. Lead a team developing and updating applications Lead the planning, testing and implementation of all production releases. Coordinate production releases between teams across the products. Work with System/ Solutions Architects, Data Architect, Engineering Managers and engineering team members for the configuration and implementation of DevOps and Continues Integration. Encourage DevOps mindset within the engineering team and facilitates lean production, continuous integration and continuous deployment while working with the System/ Solutions Architects and engineering team members. Support the team in the evaluation and selection process of the 3rd part components/libraries/ tools together with the Systems Architect and Data Architect. Provide ongoing support for applications already in use. This includes problem diagnosis and resolution, ad hoc reporting support and database administration. Provide frequent updates regarding development issues to the TSG leadership and other groups as appropriate. Participate in product level Steering Committee meetings as appropriate. Provide technical leadership and facilitates cross-team communication across multiple product teams. Ensure the proposed technical approaches meet the functional requirements and are in coordination with similar activities across the other product teams. Provide guidance to the team determining the need for new technologies based on the product backlog. Hands-on experience with AI code assist tools and AI/ML technologies, and be able to advocate for their use to accelerate time-to-market and enable rapid prototyping. Team management (25%) Oversee and guide direct reports across external vendor and internal development teams, ensuring they remain focused on the projects they support. Additionally, responsible for the professional development and career progression of internal developers, if applicable. Participate in hiring of developers/ engineering team members. Support individual team members and provide technical input and mentorship to help the team deliver current work in the sprint. Assess and help them improve their engineering practices. Coach teams and individuals on their understanding of best development practices by improving their interactions and ensuring they have the right process and tools for their success. Promote practices which help with incremental delivery and continuous integration and remove any blockers from achieving incremental delivery. Strategy, planning and technology leadership (25%) Establish and maintain key delivery, quality, and vendor performance metrics across multiple small product teams; regularly report progress, risks, and vendor relationship health to technical leadership on a regular cadence. Improving delivery metrics like velocity, responsiveness, predictability and quality as per the process adopted. Plan and prioritize tasks across multiple teams, managing risks and dependencies to deliver products on time and within budget. Advise business and technology partners on technology solutions leveraging emerging technologies and on mitigation of disruption risk. Prepare and maintain the long-term technology roadmap for the products based on the product vision. Work with the Product Owner, System Architect, Data Architect, Engineering manager and engineering team members for its implementation. Knowledge, Skills & Abilities Software Engineering - technical skills: Frameworks: .NET & .NET Core Languages: C#, T-SQL, Python Web frameworks/ Lib: Angular/React, JavaScript, HTML, CSS, Bootstrap, RESTful APIs, GraphQL, etc. Message Brokers/Event Streaming: RabbitMQ, Kafka, Azure Service Bus. RDBMS: Microsoft SQL Server Cloud: Microsoft Azure Services, Azure Functions, AWS Lambda Unit testing: XUnit, Jasmine, etc. DevOps: GitActions, Docker, Kubernetes, Terraform, ARM Templates Search engine: Elasticsearch, Coveo, etc. NoSQL databases: MongoDB, Cosmos, etc. Caching: Redis, MemCache, etc. AI & ML: Azure Cognitive Services, OpenAI APIs Code Assist & AI Productivity Tools: Cursor, Replit, GitHub Copilot, etc. Experience: 8-10 years of experience in software development including work on all aspects of the development life cycle Proven track record of great communication management, firm focus and conflict resolution. Proven track record of keeping stakeholders always aligned which include product and technical leadership. Hands-on experience using AI-based code assistants (e.g., GitHub Copilot, Cursor, Replit AI) to boost productivity and code quality. Understanding of integrating AI/ML capabilities in applications and familiarity with cloud-based AI services. Good understanding of Object-Oriented Design principles, MVC architecture, web-services, Restful APIs and design patterns Solid understanding of Agile Methodology with experience in managing sprints and user stories while using tools such as VSTS, Jira, etc. Experience architecting applications and working on enterprise-wide systems Experience leading technical teams on small to medium size projects Strong communication, time management and customer service skills High performance and standards as demonstrated by academic and previous job experience.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes: Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain and Semantic Kernel. Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. Knowledge of cloud computing and Azure infrastructure. Craft precise and effective prompts to guide AI models and improve their outputs. Monitor and analyse Azure AI costs to ensure efficient resource utilization. Develop and integrate custom tools within AI agents to extend their capabilities. Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. Collaborate with data scientists and machine learning engineers to deploy AI models into production. Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: Overall 4+ years of experience in Azure, .NET Core, Python and M365 suite of products. Min 2 years of experience in developing Generative AI applications using Azure OpenAI. Proficiency in languages like C#, Python, JavaScript, and TypeScript. Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. Understanding of CI/CD pipelines and DevOps practices. Strong problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Desired Skills: Knowledge Low code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. Understanding of cloud-native development principles and microservices architecture. Experience with containerization technologies like Docker and Kubernetes. Understanding of security best practices for cloud applications. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4+ years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The Team The High5 Technology team is a growing, multidisciplinary group of talented and passionate individuals driving innovation and excellence. We are developers, software engineers, architects, and DevOps specialists from diverse backgrounds, united by a shared love of technology and a commitment to staying ahead of the curve. We thrive on challenges, approach every problem with curiosity, and never leave a question unanswered. As early adopters, we actively engage with the tech community, value experimentation, and embrace learning from our mistakes—never making the same one twice. Quality and delivery are our priorities, and we believe they go hand in hand. Our team is characterized by a vibrant culture of collaboration and continuous learning. We celebrate autonomy, accountability, and proactivity, and we encourage every member to bring their unique perspective and expertise to the table. Here at High5, engineering isn’t just a job—it’s a mindset. The Role As a Senior Fullstack Developer at High5, you will play a pivotal role in shaping the future of our global SaaS platform. Working within a multidisciplinary squad, you will bring together industry best practices, cutting-edge technology, and your world-class engineering skills to develop scalable, performant, and elegant solutions. This role is perfect for someone who thrives in a fast-paced, collaborative environment and enjoys diving into complex challenges. Clean, functional, and high-performing code is your forte, and you’re adept at working within Agile frameworks. Beyond technical excellence, you’ll be a key contributor to the culture and direction of our engineering team, championing innovation, accountability, and a growth mindset. Required Skills • Proven experience developing complex services and applications at scale using PHP. • Proficiency with PHP frameworks such as Symfony or Laravel, including advanced architectural features (Symfony kernel, DBAL and ORM data layers, authorization/voters, messaging/queues, serialization, etc.). • Expertise with relational databases like MySQL or PostgreSQL, including data modeling and database design. • Integration experience with messaging/queueing systems like RabbitMQ or Kafka. • Hands-on experience building robust applications and components using TypeScript and frameworks such as Angular or React. • Strong understanding of RxJS and its use in building reactive applications. • Mastery of HTML, CSS, and CSS pre-processors, with the ability to deliver polished, user friendly UIs. • Experience with TDD and writing comprehensive unit tests. • Extensive experience integrating with third-party APIs and designing APIs for external consumption. • Familiarity with Elasticsearch for implementing search capabilities. • Proficiency with Linux environments and command-line tools. • Demonstrated ability to write clean, maintainable, and efficient code. • Experience collaborating within a multidisciplinary team under Agile methodologies. • A strong desire to learn, grow, and push beyond your comfort zone. Would Be Great to Have • Experience with GraphQL or API Platform. • Advanced Elasticsearch integrations. • Expertise in developing scalable and performant solutions at both the application and data layers. • Proficiency in modern UI development, including CSS transitions, animations, and advanced UI behavior. • Familiarity with OpenAI/ChatGPT integrations, LangChain, or similar technologies. What We Value At High5, our culture is as important as our code. Here’s what you can expect: • A modern and fast-paced environment where breaking things to learn and improve is part of the journey. • Collaboration and inclusivity: Everyone’s opinions matter, and we deeply involve our team in solving meaningful problems. • Autonomy and accountability: We trust our team to take ownership and deliver results. • Proactive problem-solving: Our engineers don’t just complete tasks; they identify better ways to achieve results and strive for excellence. • Support and respect: We stand behind each other and our shared goals. • Work-life balance: Personal time matters, but so does being there for your team when it counts. • A passion for learning and growth: From tackling engineering challenges to preparing rigorously, we prioritize continuous improvement. If you’re excited by the prospect of working in a dynamic, collaborative, and innovative environment, we’d love to hear from you. Join us in building something extraordinary!

Job Title: Senior Consultant - Power Automate Career Level: D3 Introduction to role Are you ready to transform digital worlds with your expertise in PowerApps, Copilot, AI Builder, Power Virtual Agents, Power Automate, Power BI, and Azure services? We are looking for a Senior Consultant who can use these technologies to drive strategic digital transformation initiatives across organizations. If you have deep technical knowledge and a curiosity about critical thinking, this is your chance to make a significant impact! Accountabilities Solution, design, and develop enterprise-grade solutions using Power Platform, AI, Azure, SharePoint, and Power Pages. Design and govern PowerApps applications, integrating with Dataverse, Dynamics 365, and third-party APIs. Implement Power Pages for external user engagement and workflow automation with Dataverse, Azure AD B2C, and APIs. Use AI Builder, Copilot, and Power Virtual Agents for intelligent automation and conversational AI. Implement Power Automate workflows for business process automation and enterprise integrations. Develop Power BI analytics solutions for scalable insights. Extend Power Platform with SharePoint Online, SPFx, Power Fx, JavaScript, TypeScript, and C#. Implement Azure Functions, OpenAI, Cognitive Services, and Logic Apps for business intelligence solutions. Develop enterprise-grade SharePoint solutions including custom SPFx web parts and document management. Establish governance, security standard methodologies, compliance policies, and ALM strategies for Power Platform and SharePoint solutions. Design Dataverse extensibility for enterprise data modeling. Drive proof-of-concept projects demonstrating AI, automation, RPA, and intelligent analytics. Collaborate with partners to define and implement scalable solutions. Implement DevOps practices for Power Platform, SharePoint, and Azure development. Stay updated with advancements in Power Platform, AI, SharePoint, Azure, and security standard processes. Essential Skills/Experience Proficient in solution architecture, enterprise automation, and applications. Expertise in Power Platform (PowerApps, Power Automate Desktop, AI Builder, Copilot, Power Virtual Agents, Power BI, Power Pages). Good experience in Power Pages (Portals), including authentication, customization, and API integrations. Experience with Azure Functions, OpenAI, Cognitive Services, Logic Apps, API Management, and serverless architectures. Experience in Dataverse, Dynamics 365, SharePoint, SQL, and third-party integrations. Hands-on experience with AI-powered automation, RPA (Power Automate Desktop), and intelligent document processing. Proficiency in JavaScript, TypeScript, Power Fx, C#, REST APIs, and OData for extending Power Platform and SharePoint. Experience in Power Platform governance, security compliance (DLP policies), ALM (Application Lifecycle Management), and solution architecture standard processes. Experience in Microsoft Fabric (Synapse Analytics, Data Factory, Dataflows, Event Hub) for real-time analytics. Experience in DevOps for Power Platform and SharePoint using Azure DevOps, GitHub Actions, CI/CD Pipelines. Strong analytical thinking, problem-solving, and strategic decision-making skills. Excellent partner engagement, technical leadership, and documentation skills. Microsoft Certifications (PL-600, PL-400, PL-500, PL-900, AZ-204, AI-900, MS-600, DP-500) are highly preferred. Desirable Skills/Experience NA When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we couple technology with an inclusive demeanour to cross international boundaries and develop a leading ecosystem. Our teams with multifaceted strengths work closely at scale to uncover new solutions that drive simplicity and efficiencies. Here you can innovate with innovative technology platforms and data to make a real difference in redefining lives through data analytics and AI. Ready to tackle this exciting challenge? Apply now to join our team!

About the Role We are seeking a Full Stack Developer who is passionate about building intelligent, scalable web applications. The ideal candidate thrives in a fast-paced environment, has a strong grasp of both frontend and backend frameworks, and brings innovative thinking with AI integration capabilities Responsibilities Design, develop, and maintain scalable web applications using Next.js , Vue.js/Nuxt , React , and NestJS Build RESTful and GraphQL APIs using NestJS Design and optimize MySQL databases for performance and scalability Integrate and experiment with AI models to enhance product capabilities Collaborate with cross-functional teams in an agile environment Apply logical reasoning to solve complex problems and create efficient workflows Write clean, maintainable, and testable code Participate in code reviews, daily stand-ups, and sprint planning Required Skills Proficiency in JavaScript/TypeScript and modern frameworks ( Next.js , React , Vue.js , Nuxt ) Strong backend experience with NestJS , Node.js , and API design Experience with MySQL , including schema design and optimization Familiarity with AI/ML technologies (e.g., OpenAI, TensorFlow, LangChain, or similar APIs/libraries) Solid understanding of logical reasoning, data structures, and algorithms Strong debugging, troubleshooting, and performance tuning skills Ability to thrive in team-based environments and contribute to collaborative success 2+YEARS experience must Nice to Have Experience deploying apps on GCP , AWS , or Vercel Familiarity with Docker, CI/CD, and version control (Git) Basic understanding of UI/UX design principles Experience working in agile/scrum settings Why Join Us? Supportive, friendly work culture that values collaboration and creativity Negotiable salary based on skills and experience Opportunity to work with AI-driven products in an innovative environment Ongoing learning and career growth opportunities How to Apply Send your resume, portfolio (if available), and a brief note about your recent project to careers@nanonino.com . Let’s build the future together! Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Experience: Full-stack development: 2 years (Preferred) Location: Peelamedu, Coimbatore, Tamil Nadu (Preferred) Shift availability: Night Shift (Preferred) Work Location: In person

Experience : 1–2 years of hands-on experience in full-stack development with a focus on FAST API and next.js. Demonstrated ability to deliver end-to-end web solutions independently, including freelance or personal projects. Technical Skills Backend: Good knowledge of Node.js, Express.js, and API development. Frontend: Proficient in React.js, with a strong understanding of component-based architecture, Redux (or other state management), HTML5, and CSS3. Databases: Experience with SQL databases like PostgreSQL, MySQL and familiarity with MongoDB or other NoSQL databases. Prompt Engineering: Basic experience working with AI APIs (e.g., OpenAI) and incorporating AI-driven features into web applications. DevOps & Tools: Familiar with CI/CD processes, containerization using Docker, and version control using Git. Testing: Exposure to unit and integration testing using tools like Jest, Mocha, Cypress, or similar. Soft Skills: Strong problem-solving and analytical skills with a user-focused mindset. Ability to work independently and in a team, managing time and tasks effectively. Excellent verbal and written communication skills. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

We are seeking a highly skilled and experienced Senior Developer to join our team and lead the development efforts for Azure OpenAI projects . This role involves leveraging the latest advancements in artificial intelligence and cloud technologies to build innovative solutions that drive business value. As a Senior Developer, you will play a pivotal role in designing, developing, and deploying AI models and advanced applications on the Azure platform. Project Overview: We are seeking a highly skilled and experienced Senior Developer to join our team and lead the development efforts for Azure OpenAI projects. This role involves leveraging the latest advancements in artificial intelligence and cloud technologies to build innovative solutions that drive business value. As a Senior Developer, you will play a pivotal role in designing, developing, and deploying AI models and advanced applications on the Azure platform. Requirements: Strong experience in AI/ML, with recent hands-on work in Generative AI and large language models (LLMs) Working knowledge of NLP techniques relevant to enterprise use cases such as search, summarization, and document classification Experience with vector search and embeddings, particularly in enterprise search or RAG-based applications Proven expertise in Python and REST API development for scalable, production-grade systems Hands-on experience with Azure OpenAI, Cognitive Services, Azure AI Search, and Azure App Services or Functions Experience deploying AI systems using CI/CD pipelines, cloud-native practices, and observability tooling Familiarity with LLM orchestration frameworks such as LangChain or Semantic Kernel (preferably in Azure environments) Strong communication skills and ability to engage with technical and non-technical stakeholders Nice to have Exposure to React or Node.js workflows, or willingness to collaborate in JS-heavy environments Prior experience building internal copilots, chatbots, or agentic AI assistants using LLMs Responsibilities: Design and implement LLM-powered applications using Azure OpenAI, Cognitive Services, and Azure AI Search Build agentic workflows for use cases such as document summarization, enterprise search, and support automation Design LLM systems with a focus on output reliability, prompt control, and fallback handling Translate prompt-based logic into robust Python APIs and deploy via Azure App Services, Functions, or containerized environments Integrate GenAI logic with business tools and external APIs Ensure production-readiness through CI/CD pipelines (Azure Pipelines or GitHub Actions), monitoring, and test automation Collaborate with product managers and engineers (React, Node.js) to integrate AI capabilities into existing platforms Provide technical leadership in building and productionalizing GenAI systems, mentoring junior engineers, and driving engineering best practices

Job Summary: We are seeking a results-driven Technical Project Manager with strong experience in managing AI-focused projects and tools. You will be responsible for overseeing cross-functional teams building AI/ML-driven products, platforms, or integrations—ensuring timely delivery, technical alignment, and strategic execution. The ideal candidate has hands-on familiarity with AI/ML workflows, prompt engineering, and tools like OpenAI, Hugging Face, LangChain, or vector databases. Key Responsibilities: Plan, execute, and manage AI-driven product or platform development using Agile methodologies. Translate business and product goals into structured AI projects with clearly defined scope and deliverables. Collaborate with data scientists, ML engineers, backend/frontend developers, and product stakeholders. Oversee model integration, API workflows, prompt optimization, and toolchain evaluation (e.g., LLMs, embeddings). Ensure scalability, performance, and ethical use of AI features in the product. Manage dependencies, risks, and cross-functional coordination. Drive the implementation of continuous delivery pipelines and AI ops. Monitor progress and communicate updates through clear reports and dashboards. Stay current with advancements in AI tooling and suggest improvements. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 5+ years in technical project management, with 2+ years working on AI/ML-focused products or platforms. Strong understanding of AI/ML concepts, including LLMs, embeddings, prompt engineering, NLP, computer vision. Familiarity with tools like OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, or vector databases. Experience with model deployment and AI infrastructure (e.g., FastAPI, Docker, cloud AI services). Skilled in using Jira, Trello, Notion, or similar project tools. Excellent leadership, communication, and cross-functional collaboration skills. Nice to Have: Experience managing AI chatbot or generative AI projects. Knowledge of ethical AI practices and responsible AI deployment. Certification in AI/ML or product management. Experience with RAG (Retrieval-Augmented Generation) architectures.

Job Summary We are seeking an experienced AI Engineering Lead with a strong background in Generative AI models, agentic systems, and machine learning algorithms . This role requires a leader who has hands-on experience in building AI-driven solutions for clients and delivering end-to-end AI solutions . You will lead a team of AI engineers , collaborate with cross-functional stakeholders, and drive the successful implementation of AI projects from ideation to deployment. Strong communication skills are essential to effectively articulate complex AI concepts to both technical and non-technical audiences. Key Responsibilities Lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI and agentic AI models . Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning. Develop and fine-tune ML models , including deep learning, NLP, reinforcement learning, and agent-based systems. Work closely with clients to understand business needs , define AI strategies, and deliver custom AI-driven solutions. Architect and implement scalable AI systems that integrate with enterprise applications. Stay updated with state-of-the-art AI research , applying best practices to solve real-world business problems. Drive participation in AI hackathons and industry challenges, fostering a team culture of innovation and experimentation. Collaborate with product managers, software engineers, and data scientists to ensure seamless deployment and monitoring of AI solutions. Present AI strategies and technical solutions to stakeholders, translating complex AI concepts into business value. Ensure AI models are ethical, fair, and transparent , with proper governance in place. Required Qualifications 5+ years of experience in AI/ML development, with at least 2+ years in a leadership role . Strong expertise in Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and ML algorithms . Proven track record of delivering AI solutions for clients, including hands-on experience in deploying models into production. Experience with frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other ML libraries . Strong programming skills in Python, Java, or similar languages . Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices. Experience leading AI hackathons or similar innovation-driven initiatives. Excellent problem-solving skills, with the ability to translate business needs into AI solutions . Strong interpersonal and communication skills, with the ability to explain AI concepts to both technical and non-technical stakeholders. Experience working in agile development environments .

Job Title - Python AL/ML Developer Experience - 3+ years Location - Indore (WFO) Np - Immediate/15 days Note - Looking for Madhya Pradesh based candidate. Job description -Implement proof of concepts in Engineering Systems and other innovation field topics where ML / AI technologies can be applied. Realize ML / AI product features. -You will be involved in coding of features, POC s and/or bug-fixing and delivering solutions adhering to coding and quality guidelines. -You will be responsible for Implementation of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on-time with high quality. -You will be responsible for Identification and implementation of unit and integration tests to ensure solution addresses customer requirements, and quality, security requirements of product are met. -You will be responsible for Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines. -Experience on Large Language Models (LLMs) such as BERT and LLAMA. -Language Model Development: Utilize off-the-shelf LLM services, like Azure OpenAI, for integrating LLM capabilities into applications, and develop new language models. -Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools. Experience -3+ years of experience in the following -Strong programming ability in both scripting and object-oriented programming languages is required (python) -Strong working knowledge in Deep learning and ML Algorithms. -Strong working knowledge in Tensor Flow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotli -Knowledge in Natural language processing (NLP) & Deep Learning is required. -Software Design & Development - OOPS/OOAD methodologies Job Types: Full-time, Permanent Benefits: Health insurance Schedule: Day shift Monday to Friday Application Question(s): what is your Notice Period (days)? Experience: Machine learning: 2 years (Required) Gen AI: 1 year (Preferred) Work Location: In person

JD #3 5+ years of experience in AI and machine learning Should have hands-on experience in deploying at least one end to end GenAI project Proven experience with Azure OpenAI LLMs and its application in enterprise environments Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skill About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills And Attributes 4-6 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-6 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.