We are seeking a highly skilled professional with expertise in
Machine Learning, Google Cloud Platform (GCP), Microsoft 365 Copilot, and Microsoft Power Platform tools (Power Automate, Power Apps, Power BI) . The candidate will design, build, and deploy scalable AI/ML solutions, automate business workflows, and create impactful data visualizations to drive business insights and productivity.
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.
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We are seeking a highly skilled professional with expertise in
Machine Learning, Google Cloud Platform (GCP), Microsoft 365 Copilot, and Microsoft Power Platform tools (Power Automate, Power Apps, Power BI) . The candidate will design, build, and deploy scalable AI/ML solutions, automate business workflows, and create impactful data visualizations to drive business insights and productivity.
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.