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15.0 - 20.0 years

15 - 20 Lacs

kolkata

Work from Office

Project Role :Responsible AI Tech Lead Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption. Must have skills : Microsoft Copilot Studio Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Tech Lead, you will ensure the ethical and responsible use of artificial intelligence technologies. Your typical day will involve designing and deploying Responsible AI solutions, aligning AI projects with ethical principles and regulatory requirements, and providing leadership to foster cross-functional collaboration. You will advocate for the adoption of ethical AI practices, ensuring that all AI initiatives are conducted with integrity and accountability, while also engaging with various stakeholders to promote a culture of responsible AI usage across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team understanding of ethical AI practices.- Monitor and evaluate the impact of AI solutions to ensure compliance with ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Copilot Studio.- Experience in Microsoft generative AI features in copilot studio- Strong understanding of ethical AI frameworks and guidelines.- Experience in developing and implementing AI governance policies.- Ability to analyze and interpret data to inform ethical decision-making.- Familiarity with regulatory requirements related to AI technologies. Additional Information:- The candidate should have minimum 7 years experience in Microsoft AI stack, cognitive services, Azure AI search & Azure open AI, Microsoft power automate, experience integrating Microsoft virtual agents with channels like teams, SharePoint, custom websites- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

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10.0 - 16.0 years

20 - 35 Lacs

pune, chennai, bengaluru

Work from Office

Greetings from TCS!!! Come and join us for an exciting career with TCS!!! Role: Solution architect -AI/genai/ML Desired Experience Range: 10 - 16 years Location: PAN INDIA Must Have Experiences and Skills: Experience architecting AI solutions on at least one cloud platform: Azure: Azure OpenAI, Azure ML, Cognitive Services, Synapse AWS: Bedrock, SageMaker, Comprehend, Textract, Kendra GCP: Vertex AI, PaLM API, LangChain + BigQuery + Looker Hands-on with GenAI frameworks and tools: LangChain, LlamaIndex, Haystack, Hugging Face Transformers, etc. Familiarity with prompt engineering, fine-tuning, RLHF, and MLOps workflows. Knowledge of cloud-native architecture, REST APIs, containers (Docker, Kubernetes), and CI/CD. Experience with data privacy, model safety, bias mitigation, and AI governance principles.

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7.0 - 8.0 years

18 - 22 Lacs

mumbai, pune, chennai

Work from Office

Project description We are seeking an experienced Azure Cloud Support Engineer skilled in cloud architecture and Microsoft Azure. The ideal candidate will have advanced knowledge of Azure Cloud services, Configuration Management, knowledge on DevOps Deployment & Delivery methodologies. This role involves maintaining the A infrastructure and applications. Responsibilities Technical Support: Provide technical assistance and resolve issues related to Azure services, including system outages and performance slowdowns Troubleshooting: Diagnose and fix problems with cloud-based servers, storage, and networking Client Collaboration: Work closely with clients to understand their cloud computing needs and recommend suitable Azure solutions System Monitoring: Monitor system performance to ensure all elements of the Azure platform are functioning as expected Security Implementation: Implement security measures and ensure compliance with data protection regulations Documentation: Document technical issues and solutions in the support ticket system for future reference Training: Keep up-to-date with the latest Azure products and features and provide training to clients or internal teams when necessary Skills Must have Senior with more than 7 to 8 years of experience on the belowSkills and Experience: Experience with Microsoft Azure involving design, deployment, configuration, and optimization. Technical Skills: Proficiency in IaaS and PaaS solutions, scripting (Perl, Python, PowerShell), and infrastructure as code (IaC) tools like Terraform, Azure CLI, Puppet, and Ansible.Expertise & Hands-on Exposure on App Service Components:-Container Instances, Key Vault, Storage accounts, Batch accounts, Application Insights-Database for PostgreSQL, Data Factory, Service Bus, Analysis Services, Stream Analytics-Cosmos DB, Event Grid, Log Analytics, Availability Sets, Event Hubs, Load Balancer, -API Management Services, Logic Apps, Databricks, Function apps, SQL Database(Azure SQL and SQL Managed Instance), IoT Hub, Cognitive Services, Kubernetes Service Container Registry, Compute, Machine Learning, SignalR Service, Automation Accounts Application Gateway, Private endpoints Location- Pune,Mumbai,Chennai,Banagalore

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5.0 - 10.0 years

8 - 18 Lacs

bengaluru, delhi / ncr, mumbai (all areas)

Hybrid

Hi All, We have hot vacancy for the "Gen Ai Developer" for MNCs Company. #on ly female Candidate apply# #immediate joiner# #Azure Cognitive Services# Exp Range- 4 to 12Years Locations- PAN India JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools. if anyone interested please share your updated resume on this mail:- Priya.singhal@thehrsolutions.in

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