Description

Key Responsibilities

1. Machine Learning & AI Solutions

• Design, develop, and deploy machine learning models for prediction, classification, and automation.
• Work with structured and unstructured datasets using Python, SQL, and ML libraries (TensorFlow, PyTorch, Scikit learn).
• Develop and deploy models using GCP AI/ML services (Vertex AI, AutoML).
• Perform model evaluation, tuning, and monitoring for performance improvements.
• Integrate AI models into enterprise applications and workflows.

2. Cloud Engineering (GCP)

• Architect and manage cloud infrastructure using Google Cloud Platform.
• Work with services such as:
  • Compute Engine, App Engine, Cloud Run
  • Cloud Storage, BigQuery
  • Dataflow, Pub/Sub, Cloud Functions
• Implement CI/CD pipelines for ML and analytics workloads.
• Ensure cloud security, scalability, and cost optimization.
• Monitor system performance and troubleshoot cloud related issues.

3. Microsoft 365 Copilot Integration

• Leverage Microsoft 365 Copilot to enhance productivity and automate workflows.
• Design and implement Copilot use cases across Word, Excel, Teams, and Outlook.
• Customize Copilot solutions using Graph APIs and plugins where applicable.
• Identify business processes that can benefit from AI assisted automation.

4. Power Platform Development

• Develop and maintain solutions using:
  • Power Automate for workflow automation
  • Power Apps for low code application development
• Automate business processes and integrate with third party systems.
• Create scalable solutions aligning with governance and security policies.
• Collaborate with stakeholders to translate business needs into technical solutions.

5. Data Visualization & Business Intelligence (Power BI)

• Design and develop interactive dashboards and reports using Power BI.
• Connect and model data from multiple sources (GCP, SQL, APIs, Excel).
• Implement data transformation using Power Query and DAX.
• Provide actionable insights and analytics for decision making.
• Optimize dashboards for performance and usability.

6. Collaboration & Stakeholder Engagement

• Work closely with business teams, data engineers, and IT stakeholders.
• Translate business requirements into technical solutions.
• Provide technical documentation and training to end users.
• Stay updated with emerging technologies in AI, cloud, and Microsoft ecosystem

Key Skills

Education

Any Gradute