Data Scientist

Role & Responsibilities Design, develop, and implement AI, Generative AI, Machine Learning, NLP, and intelligent automation solutions to improve business operations. Develop AI agents, custom Copilots, enterprise chatbots, and multi-agent solutions to automate business processes. Build and deploy solutions using Power Apps, Power Automate, Power BI, Copilot Studio, Microsoft 365 Copilot, and Azure AI. Work with LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Develop and integrate AI solutions using Azure OpenAI, Azure AI Foundry, and Azure AI Services. Use Python, SQL, and REST APIs to integrate AI applications with ERP, CRM, SharePoint, and Microsoft 365 platforms. Implement intelligent document processing, workflow automation, RPA, and AI-driven process optimization. Lead AI solution development from proof of concept (PoC) through deployment, implementation, and ongoing maintenance. Ensure AI governance, data security, responsible AI practices, model evaluation, and performance monitoring. Collaborate with business stakeholders to identify automation opportunities, understand requirements, and deliver scalable AI solutions. Preferred Candidate Profile 5-7 years of experience in AI, Generative AI, Machine Learning, NLP, and Intelligent Automation. Hands-on expertise in Power Apps, Power Automate, Power BI, Copilot Studio, Microsoft 365 Copilot, and Azure AI. Strong experience in developing AI agents, custom Copilots, enterprise chatbots, and multi-agent solutions. Practical knowledge of LLMs, Prompt Engineering, RAG, embeddings, and vector databases. Experience with Azure OpenAI, Azure AI Foundry, and Azure AI Services. Proficiency in Python, SQL, REST APIs, and enterprise system integrations. Experience in intelligent document processing, workflow automation, RPA, and business process optimization. Ability to design, develop, deploy, and maintain enterprise-grade AI solutions. Knowledge of AI governance, data security, responsible AI, and model performance monitoring. Strong stakeholder management, communication, and project delivery skills. Experience in the construction, contracting, or infrastructure industry will be an added advantage #J-18808-Ljbffr