Client needs candidates for both the role Power Platform / Co-Pilot Studio Administrator & AI Engineer from Mumbai or Thane who can travel to office at least thrice a week. tk accelis Global Services India Private Limited Page ̠/̡ tk accelis Global Services India Private Limited (formerly known as thyssenkrupp Materials IT Services India Private Limited) Registered Oȃce: ̢rd Floor, CyberTech House, B-̢̥-̥̣-̥̤ MIDC, Road No.̡̠/̢̣, J. B. Sawant Marg, Wagle Industrial Estate, Thane (West)-̣̟̟̥̟̣ T +̨̠ ̢̨̡̢̧̦̟̣̟̠ · tkmits@thyssenkrupp-materials.com Corporate Identity Number: U̡̦̤̟̠MH̡̨̟̠FTC̢̡̧̥̟̟ AI Engineer Your Responsibility: - Designing, developing, and deploying solutions using Azure Data and AI platform. Develop AI capabilities and workȆows as scalable, secure, and responsible AI applications that meet business needs. Extend prebuilt capabilities from global platform for speciȅc segment/BU/OU demands. Technical Design and development of AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services. Build and deploy machine learning models using Azure ML pipelines and SDKs. Develop and maintain integration paȌerns with enterprise grade applications like SAP, D365, Power Platform, Dataverse, HR systems, Azure services etc. Work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions. Paȋicipate in solution architecture discussions to ensure alignment with enterprise standards and scalability. Ensure developments in line with deȅned security guardrails for privacy and data security Monitor AI workloads using Azure Monitor, Application Insights, and ML Ops best practices. Monitor, evaluate and optimize models for peȊormance and cost-eȃciency. Your Proȅle: - • Minimum 3 years of experience in AI Solutions development and monitoring in Azure-based enterprise environment. • Bachelor’s degree in AI Engineering or Data Science Engineering or Computer Science or Other engineering with relevant experience • Designing and deploying AI/ML solutions on Azure. • Proȅciency in Python and Azure SDKs. • Experience in developing reusable frameworks, components, APIs, and accelerators. tk accelis Global Services India Private Limited Page ̡/̡ tk accelis Global Services India Private Limited (formerly known as thyssenkrupp Materials IT Services India Private Limited) Registered Oȃce: ̢rd Floor, CyberTech House, B-̢̥-̥̣-̥̤ MIDC, Road No.̡̠/̢̣, J. B. Sawant Marg, Wagle Industrial Estate, Thane (West)-̣̟̟̥̟̣ T +̨̠ ̢̨̡̢̧̦̟̣̟̠ · tkmits@thyssenkrupp-materials.com Corporate Identity Number: U̡̦̤̟̠MH̡̨̟̠FTC̢̡̧̥̟̟ • Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment. • Familiarity with cloud-native development and CI/CD practices for ML workȆows. • Excellent communication and collaboration skills.Prior experience with AI platform architecture, agent architecture, or enterprise copilot design is strongly preferred. Skills required: - • Strong experience across Azure cloud, enterprise integration, and data platform development. • Deep understanding of Microsoft Fabric and modern data platform paȌerns for ingestion, storage, serving, and governance. • Hands-on understanding of Microsoft Foundry capabilities for AI applications and agents, including evaluation, monitoring, and lifecycle considerations. • Good understanding of Copilot Studio, including connectors, actions, topics, orchestration paȌerns, and enterprise deployment considerations. • Code and technical implementation knowledge of security, identity, access management, compliance, and operational governance in enterprise Azure environments. • Good Communication in English, collaboration skills with western economy business and technology stakeholders • technical design and test cases documentation experience with ability to describe and discuss clearly technical solutions to various stakeholders Ceȋiȅcates (optional): - Microsoft Ceȋiȅed: Fabric Data Engineer Associate (DP-700) Microsoft Ceȋiȅed: Azure AI Engineer Associate (AI-102) or successor ceȋiȅcation