2714 Openai Jobs - Page 14

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.

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.

Hello, We have an exciting opportunity for a Technical Project Manager with 5+ years of experience in Ahmedabad! Company Description: IndiaNIC is an offshore Software Development Company based in Ahmedabad, India, with a team of 600+ experts operating across multiple countries. The company specializes in transforming ideas into digital solutions using the latest technologies and top-notch UI/UX designs. Focusing on websites, mobile apps, IoT, AI & ML development, and other specialized services, IndiaNIC has successfully delivered 7,000+ projects to 3,000+ clients worldwide. EXPERIENCE: 5+ years On-site Opportunity Ahmedabad 5 days Working Job Summary: 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, and 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 chatbots 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. Thanks & Regards Aman Bhavsar | Executive - HR | IndiaNIC | Ph.: 079 -61916080/6000 Mo.:9510915158 https://www.indianic.com

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. 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.

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.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models finetuning and evaluation, Python web development Good to Have Skills -LLMOps

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position: Sr. Data Scientist Experience: 5-7 Years Work Mode: Hybrid Location: Pune Notice Period: Immediate Joiners only Role Overview We are looking for a Sr. Data Scientist / AI Solution Architect to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud, LLMOps, Containerized environments, and Generative AI technologies. This is an onsite role based in Pune, offering you the opportunity to collaborate closely with cross functional teams on impactful projects. Key Responsibilities Architect and implement end-to-end AI/ML solutions using Azure AI/ML services Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) Work with containerized deployments using Docker and orchestration tools like Kubernetes Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems Drive model monitoring, versioning, and responsible AI practices Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications 5 to 7 years of experience in Data Science / AI / ML solution development Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.) Experience working with LLMs, prompt engineering, and fine-tuning techniques Proven experience with containerized environments (Docker, Kubernetes) Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) Solid understanding of LLMOps/MLOps lifecycle and best practices Excellent communication, stakeholder management, and team collaboration skills Must Have Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc. Good to Have: Experience with Databricks Familiarity with Azure CI/CD pipelines Prior experience working in a startup or fast-paced product environment Skills: ai foundry,git,langchain,docker,kubernetes,ai,llm,llmops,mcp,azure ai services,mlops,llms,ml,tensorflow,fine-tuning techniques,machine learning studio,hugging face apis,gen ai,azure ai search,pytorch,transformers,unit testing,jira,azure openai,prompt engineering,devops,azure cognitive services,clean code,python,azure,ml studio

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

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.

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.

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models fine tuning and evaluation, Python web development Good to Have Skills -LLMOps

Job Title: Functional Tester – Agentic AI Solution (Banking & Wealth Management) Location: Noida Experience Level: 2–6 years Reports To: QA Lead / Product Manager We are looking for an experienced Functional Tester to validate the business workflows, compliance logic, and customer-facing features of an Agentic AI solution built for the banking and wealth management domain. This solution leverages LLMs, retrieval-augmented generation (RAG), and domain ontologies to provide intelligent data retrieval, client interaction, and regulatory compliance automation. Key Responsibilities Functional Testing • Understand functional and non-functional requirements for Agentic AI features (e.g., document Q&A, investment summarization, client onboarding, compliance tracking) • Validate end-to-end user journeys across banking and wealth advisory use cases • Test conversational workflows and agentic logic flows (multi-step LLM tasks) • Verify outputs from LLMs for relevance, consistency, and context-awareness • Ensure correct role-based access across advisors, relationship managers, and compliance officers Test Planning & Execution • Prepare detailed test plans, test cases, and traceability matrices from EPICs, features, and user stories • Execute manual testing for user interfaces, APIs, and chat/agent interactions • Perform regression testing across AI pipelines after prompt or model updates • Log, track, and retest defects using tools like Azure DevOps, Jira, or TestRail AI Model & RAG Testing • Validate grounding of LLM responses from vector databases (e.g., Azure AI Search, Pinecone) • Check performance of RAG pipelines including hallucination mitigation, context window boundaries, and fallback logic • Test interaction of agent orchestration flows (LangChain/Autogen/semantic kernel) • Verify prompt-based test cases for accuracy and coverage Integration & Data Testing • Validate PDF/statement extraction logic from custodians (e.g., Morgan Stanley, Pershing) • Check structured data output (JSON, tables) from Azure Form Recognizer or OpenAI pipelines • Ensure data integrity and lineage from ingestion → processing → user response Must-Have Skills & Tools Category Tools/Tech Test Management Azure / AWA DevOps, Jira, TestRail, Azure Board Test Types Functional, UI, Integration, AI behavior Domain Knowledge Wealth Mgmt workflows, KYC, portfolio views, regulatory rules AI Concepts LLM output validation, RAG testing, prompt engineering basics Data JSON validation, SQL for test data setup Tools (Optional) Postman, Python (for test automation scripts), Excel-based test mapping Preferred Qualifications • Bachelor’s degree in Engineering, Finance, or Computer Science • Experience testing AI/ML solutions or conversational AI products • Familiarity with Azure AI stack, OpenAI, or AWS Bedrock • Exposure to compliance-heavy domains like banking, wealth, or insurance • Ability to work with cross-functional Agile teams (product, engineering, AI/ML, compliance) Nice-to-Have Skills • Experience writing prompt-based test cases for LLMs • Familiarity with agentic workflows (e.g., task chaining, autonomy testing) • Understanding of financial statement formats (portfolio summaries, trade confirms) • Basic scripting to validate data output (e.g., Python, bash)

HCLTech is hiring Data and AI Principal /Senior Manager (Generative AI) for Noida. HCLTech is a global technology company, home to more than 218,000 people across 59 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2024 totaled $13.7 billion. To learn how we can supercharge progress for you, visit hcltech.com. Key Responsibilities: Hands-on Technical Leadership & Oversight: Architecting Scalable Systems : Lead the design of AI , GenAI solutions , machine learning pipelines , and data architectures that ensure performance , scalability , and resilience . Hands-on Development : Actively contribute to coding , code reviews , solution design , and hands-on troubleshooting for critical components of GenAI , ML , and data pipelines . Cross-Functional Collaboration : Work with Account Teams , Client Partners and Domain SMEs to ensure alignment between technical solutions and business needs. Team Leadership : Mentor and guide engineers across various functions including AI, GenAI , Full Stack, Data Pipelines , DevOps , and Machine Learning , fostering a collaborative and high-performance team environment. Solution Design & Architecture: System & API Architecture : Design and implement microservices architectures , RESTful APIs , cloud-based services , and machine learning models that integrate seamlessly into GenAI and data platforms . AI, GenAI, Agentic AI Integration : Lead the integration of AI, GenAI, and Agentic applications , NLP models , and large language models ( e.g., GPT , BERT ) into scalable production systems. Data Pipelines : Architect ETL pipelines , data lakes , and data warehouses using industry-leading tools like Apache Spark , Airflow , and Google BigQuery . Cloud Infrastructure : Drive the deployment and scaling of solutions using cloud platforms like AWS , Azure , GCP , and other relevant cloud-native technologies. Machine Learning & AI Solutions: ML Integration : Lead the design and deployment of machine learning models using frameworks like PyTorch , TensorFlow , scikit-learn , and spaCy into end-to-end production workflows, including building of SLMs. Prompt Engineering : Develop and optimize prompt engineering techniques for GenAI models to ensure accurate, relevant, and reliable output. Model Monitoring : Implement best practices for ML model performance monitoring , continuous training, and model versioning in production environments. DevOps & Cloud Infrastructure: CI/CD Pipeline Leadership : Have good working knowledge of CI/CD pipelines , leveraging tools like Jenkins , GitLab CI , Terraform , and Ansible for automating the build, test, and deployment processes. Infrastructure Automation : Lead efforts in Infrastructure-as-Code and ensure automated provisioning of infrastructure through tools like Terraform , CloudFormation , Docker , and Kubernetes . Cloud Management : Ensure robust integration with cloud platforms such as AWS , Azure , GCP , and experience with specific services such as AWS Lambda , Azure ML , Google BigQuery , and others. Cross-Team Collaboration: Stakeholder Communication : Act as the key technical liaison between engineering teams and non-technical stakeholders, ensuring technical solutions meet business and user requirements. Agile Development : Promote Agile methodologies and do solution and code design reviews to deliver milestones efficiently while ensuring high-quality code. Performance Optimization & Scalability: Optimization : Lead performance tuning and optimization for high-traffic applications, especially around machine learning models , data storage , ETL processes , and API latency . Scaling : Ensure solutions scale seamlessly with growth, leveraging cloud-native tools and load balancing strategies such as AWS Auto Scaling , Azure Load Balancer , Kubernetes Horizontal Pod Autoscaler . Required Qualifications: 15+ years of hands-on technical experience in software engineering, with at least 5+ years in a leadership role managing cross-functional teams, including AI, GenAI , machine learning , data engineering , and cloud infrastructure . Hands-on Experience in designing and developing large-scale systems , including AI, GenAI , Agentic AI, API architectures , data systems , ML pipelines , and cloud-native applications . Strong experience with cloud platforms such as AWS , GCP , Azure with a focus on cloud services related to ML , AI , and data engineering . Programming Languages : Proficiency in Python , Flask/Django/FastAPI Experience with API development (RESTful APIs, GraphQL ). Machine Learning & AI : Extensive experience in building and deploying ML models using TensorFlow , PyTorch , scikit-learn , and spaCy , with hands-on experience in integrating them into AI, GenAI and Agentic frameworks like LangChain and MCP . Data Engineering : Familiarity with ETL pipelines , data lakes , data warehouses (e.g., AWS Redshift , Google BigQuery , PostgreSQL ), and data processing tools like Apache Spark , Airflow , and Kafka . DevOps & Automation : Strong expertise in CI/CD pipelines, containerization ( Docker , Kubernetes ), Infrastructure-as-Code ( Terraform , CloudFormation , Ansible ). Experience with API security , OAuth , and rate limiting for high-traffic, secure systems. Tools & Technologies: Cloud Platforms : AWS, GCP, Azure, Google Cloud AI, AWS SageMaker, Azure Machine Learning. Data Engineering : A pache Kafka, Apache Spark, Airflow, Presto, Hadoop, Google BigQuery, AWS Redshift. Machine Learning : TensorFlow, PyTorch, scikit-learn, spaCy, HuggingFace, OpenAI GPT. CI/CD & DevOps : GitLab CI, Jenkins, Docker, Kubernetes, Terraform, Ansible, Helm. API Frameworks : FastAPI, Flask, GraphQL, RESTful APIs . Version Control : Git, GitHub, GitLab. Interested candidates, kindly share your profile on paridhnya_dhawankar@hcltech.com with below details. Overall Experience: Skills: Current and Preferred Location: Current and Expected CTC: Notice Period:

Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast, affordable, and secure PDF solutions that are used by millions of people worldwide. Winner of numerous awards, Foxit has customers in more than 200 countries and global operations. We have a complete product line and an exciting and aggressive development schedule. Our proven PDF technology is disrupting the status quo establishment and has accelerated our company growth. We are proud to list as customers Google, Amazon, and NASDAQ, and with your skills and help, we plan to add many more. Foxit has offices all over the world, including locations in the US, Asia, Europe, and Australia. For more information, please visit https://www.foxit.com About the Role: As a Junior Product Manager for Foxit's Fusion Platform, you will play a key role in shaping product enhancements and AI-driven capabilities within our integrated document and workflow ecosystem. Leveraging your experience with widely adopted AI tools, you'll collaborate with product teams, engineering, and data science to deliver innovative, AI-powered user experiences. Responsibilities: · Work closely with senior product owners and cross-functional teams to identify and prioritize enhancements leveraging AI for Foxit Fusion. · Develop and refine user stories, acceptance criteria, and product documentation that clearly articulate Fusion's integrated AI features. · Support product backlog management aligned with strategic objectives, particularly focusing on AI integration and usability. · Assist with user and market research to uncover new opportunities for integrating AI within the Fusion ecosystem. · Facilitate clear and effective communication among technical and non-technical stakeholders to align on AI initiatives. · Track product metrics and user feedback to inform continuous improvements and iterations. Qualifications: · Bachelor’s degree or relevant practical experience. · 1-2 years in product management or product ownership roles, with hands-on experience using widely adopted AI tools. · Practical knowledge of artificial intelligence, specifically as integrated into contemporary SaaS products. · Familiarity with agile methodologies and the product lifecycle, especially within integrated software ecosystems like Fusion. · Strong communication, collaboration, and analytical skills. Preferred Skills: · Hands-on experience with popular AI platforms and frameworks (OpenAI APIs, TensorFlow, GPT models). · Competency with data analytics tools (SQL, Excel, Tableau) for extracting insights and supporting decisions. · Enthusiasm for staying updated on emerging AI technologies and industry trends.

DXFactor is looking for AI/ML Engineer (4 to 6 Yrs) DXFactor is a US-based tech company working with fortune 500 customers across the globe. We have our presence in: US India (Ahmedabad, Bangalore) Web-site: www.DXFactor.com Location: SG Highway, Ahmedabad (Work from Office) Employment Type: Full Time Job Summary: We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI . The ideal candidate will have strong proficiency in Python , LLM Models , and emerging techniques such as Retrieval-Augmented Generation (RAG) , model fine-tuning , and agentic AI systems . You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs . Implement and optimize RAG pipelines for knowledge-aware AI systems. Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications. Build and manage agentic AI systems capable of autonomous planning and decision-making. Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features. Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Minimum 1 year of hands-on experience in Generative AI projects. Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn). Strong understanding of Large Language Models (LLMs) and transformer architectures. Experience building RAG pipelines and integrating vector search systems. Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic. Experience on working with cloud platforms Tools & Technologies: Frameworks & Libraries: LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow Model Providers: OpenAI, Anthropic, Llama, Mistral Vector Stores: FAISS, Pinecone, Milvus APIs & Services: REST, GraphQL DevOps & Infra: Docker, AWS/GCP/Azure

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

Position : Solution Architect Location : PAN India (Onsite) Position Type : Permanent Job Description: 5-12 years experience in AI and machine learning, with a strong focus on solution architecture. 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. Hands-on experience with Retrieval-Augmented Generation (RAG) systems. Expertise in Azure cloud services and architecture. 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. Strong leadership and project management abilities. Effective communication and interpersonal skills.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

CTC -10-12LPA Job Title: GenAI Developer & Data Scientist – Azure | NLP | MLOps Location: Pune (WHO) Experience: 3-5 Years Role Overview: We are seeking a skilled GenAI Developer / Data Scientist with strong experience in Python, Azure, AI/ML , and modern NLP & Deep Learning techniques . This role is ideal for someone passionate about end-to-end AI solution delivery , model development, and integration using cutting-edge tools like Azure OpenAI, FastAPI, PyTorch, and MLOps frameworks . Key Responsibilities: Research, develop, and optimize AI models (ML/DL/NLP). Design and deploy data pipelines and AI workflows. Build solutions using Prompt Engineering , GPT-based models , and Vector Search . Implement and monitor ML models using MLOps best practices . Collaborate across teams to integrate AI components into applications. Must-Have Proficiency In: Programming/Frameworks: Python, R, FastAPI, React (Azure UI Search API) Cloud & Tools: Azure Cloud, Azure DevOps, GitLab Pipelines, Ansible, REX Databases/ETL: Cosmos DB (Mongo API), Azure Data Factory, Databricks AI/ML: Supervised/Unsupervised Learning NLP, Deep Learning (RNN, Transformers) Prompt Engineering & Modern Testing PyTorch, MLOps frameworks Deployment: Model deployment & monitoring processes Expert-Level Candidates Should Also Have: Experience with Azure OpenAI , GPT models (4o/4/3) , embeddings, vector search Deep expertise in ML algorithms (incl. reinforcement learning) Strong foundation in math/stats (linear algebra, calculus, probability, statistics) Frameworks: TensorFlow, PyTorch Data tools: Pandas, NumPy, SQL, Spark, Hive Visualization: Matplotlib, Seaborn, Tableau AI-driven analytics and decision systems

Help Build the AI Engine for a Greener Future Position: AI & Data Intern – Programming, Automation & Sustainability 📍 Location: On-site (Delhi NCR) 🕒 Duration: Minimum 3 months (extendable to 6 months) 💰 Stipend Provided | 📜 Certificate | 🚀 Pre-Placement Offer Opportunity About Novasensa Novasensa is a deep-tech sustainability company working at the cutting edge of lithium-ion battery and e-waste recycling. Our in-house technologies extract valuable metals from used electronics—supporting clean energy, circular economy, and India’s mineral self-reliance. We’re now building a custom AI Assistant to automate experiments, analyze lab data, and support decision-making across our operations. You’ll join our R&D team to help shape this tool and apply your programming skills to real sustainability challenges. Why This Internship Use your Python and data skills on a real-world AI system Learn how AI can accelerate clean-tech innovation Get mentorship from a startup team working at the intersection of sustainability, engineering, and software Gain experience in automation, data visualization, and semantic search Your work will contribute to India’s green growth and circular economy mission What You’ll Work On As an AI & Data Intern , you’ll support development and testing of our internal AI tools. You don’t need to be an expert—we’ll help you learn as you build. Programming & Automation Write Python scripts to clean, organize, and process experimental data Automate repetitive R&D tasks like documentation or calculations Help build backend tools for experiment tracking and analysis Data Analysis & Visualization Analyze lab results and generate visual summaries Use Excel, Python (Pandas, Matplotlib), or Streamlit to build dashboards Track patterns and insights from recycling experiments AI Assistant Development (with guidance) Help with document parsing and semantic search Learn how LangChain, OpenAI, and vector databases (like Pinecone) work Test and improve the performance of our AI assistant using real lab data Who We’re Looking For We’re looking for curious, motivated learners who want to apply their coding and data skills to real sustainability work. Must-Have Basic to intermediate Python programming skills Understanding of data structures, functions, and file handling Familiarity with data visualization (Matplotlib, Seaborn, Excel, etc.) Interest in AI and willingness to learn new tools Good to Have Exposure to AI tools like OpenAI, LangChain, or vector search (even at beginner level) Experience with data cleaning and automation Interest in clean energy, recycling, or sustainability Education Background Candidates should be pursuing or recently completed any of the following degrees: B.Tech / B.E. / M.Tech in: Computer Science Data Science / AI / ML B.Sc / M.Sc in: Computer Science Statistics Mathematics What Past Interns Say“Novasensa is one of the few startups in India where you’re building deep-tech from first principles—with a real mission. I got to code, test, and deploy modules that are now part of the AI system used daily by the team. It changed how I think about software’s role in sustainability.”— Karthik M., BITS Pilani, Summer Intern 2024 How to Apply Email hr@novasensa.com with: • Your resume (PDF) • A short note (max 300 words) telling us: • Why you want to intern at Novasensa • What you’re hoping to learn and contribute 🗓 Applications are reviewed on a rolling basis. Early applicants are preferred. 🌍 Learn. Build. Impact. Join us to use your code for a cleaner planet.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 3-6 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303628

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