Job Title: AI/Data Science Engineer
Location: Remote Duration: 06 Months Job Description
We are seeking an experienced AI/Data Science Engineer II to develop and support AI-driven solutions, process automation, and data analytics within the Microsoft ecosystem. The ideal candidate will have strong development skills and hands-on experience with Microsoft Power Platform, Copilot Studio, Power BI, Microsoft 365, and SharePoint integration. The candidate will work with cross-functional teams to build automation solutions, improve business processes, develop data-driven insights, and implement AI-powered applications using evolving Microsoft technologies.
Key Responsibilities:
Design, develop, and maintain solutions using Microsoft Power Apps, Power Automate, and Copilot Studio.
Develop and support AI-powered applications, workflow automation, and business process solutions.
Create interactive dashboards, reports, and data analytics solutions using Power BI.Integrate Microsoft 365 applications, SharePoint, and other Microsoft services.
Use Visual Studio Code and relevant programming tools to develop, test, and debug solutions.
Analyze structured and unstructured data to identify trends and generate actionable insights.
Support AI, machine learning, and data science initiatives as required.
Translate business requirements into technical solutions and maintain appropriate documentation.
Collaborate with cross-functional teams to improve operational efficiency and solution performance.
Stay current with emerging AI tools, Copilot capabilities, and Microsoft technologies.
Required Skills:
Strong software development and solution development experience.
Hands-on experience with Microsoft Power Platform, including Power Apps and Power Automate.
Experience with Microsoft Copilot Studio and AI-powered solutions.
Proficiency in Power BI and data analytics.
Experience integrating Microsoft 365 and SharePoint.
Familiarity with Visual Studio Code, application development, testing, and debugging.
Understanding of AI, machine learning, automation, and data processing concepts.
Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications:
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
