Description

You will design, build, and deploy scalable AI/ML solutions on Google Cloud Platform, automate business workflows using Microsoft 365 Copilot and Power Platform, and create data visualizations to drive business insights.

This role is on-site.

Responsibilities

• Design, develop, and deploy machine learning models for prediction and automation using Python, SQL, TensorFlow, PyTorch, and Scikit-learn.
• Architect and manage cloud infrastructure on GCP, utilizing services like Vertex AI, BigQuery, Dataflow, and Cloud Run while implementing CI/CD pipelines.
• Integrate Microsoft 365 Copilot into enterprise workflows across Word, Excel, Teams, and Outlook, customizing solutions via Graph APIs and plugins.
• Develop low-code applications and automate business processes using Power Apps and Power Automate, ensuring alignment with governance and security policies.
• Create interactive dashboards and reports in Power BI, modeling data from GCP, SQL, and APIs using Power Query and DAX.

Required Skills

• 5+ years of experience in software engineering or data science.
• Strong proficiency in Python and SQL for data processing and ML model development.
• Hands-on experience with Google Cloud Platform (GCP) services, including Vertex AI, BigQuery, Compute Engine, and Cloud Functions.
• Expertise in Microsoft Power Platform, specifically Power Automate, Power Apps, and Power BI (DAX, Power Query).
• Experience integrating AI models into enterprise applications and workflows.
• Ability to design and implement Copilot use cases and customize solutions.
• Knowledge of API integration and working with structured and unstructured datasets.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with data visualization best practices and stakeholder engagement.

Key Skills

Education

Bachelor's degree