AI Engineer

Key Responsibilities

• AI Solution Development: Design, develop, and implement AI and machine learning models using Microsoft Azure Machine Learning, Cognitive Services, and related tools.

• Data Processing: Work with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to preprocess and manage large datasets.

• Model Training & Optimization: Train and fine-tune machine learning models in Azure Machine Learning Studio and optimize their performance for deployment.

• Integration & Deployment: Deploy AI solutions using Azure Kubernetes Service (AKS), Azure Functions, and other Microsoft cloud-native services.

• Research & Innovation: Explore new AI capabilities within the Microsoft platform and recommend their application to meet evolving business needs.

• Testing & Validation: Validate AI models using Azure DevOps for MLOps pipelines, ensuring accuracy, reliability, and scalability.

• Collaboration: Work with product managers, data engineers, and stakeholders to integrate AI/ML models into enterprise systems and applications.

• Performance Monitoring: Use tools like Application Insights and Azure Monitor to track the performance of AI models in production.

Required Skills:

• Proficiency with Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot  Framework.

• Strong programming skills in Python, R, or C# for AI and data processing.

• Hands-on experience with Power BI for AI-driven data visualization.

• Knowledge of Azure Databricks for big data processing and AI development.

• Experience with Azure DevOps and MLOps for AI model lifecycle management.

• Familiarity with integrating AI solutions into Microsoft Power Platform (e.g., Power Apps, Power  Automate).

Preferred Skills:

• Experience in Natural Language Processing (NLP) using Azure Language Understanding (LUIS) or Azure  OpenAI Service.

• Knowledge of deploying chatbots with Microsoft Bot Framework and Azure Bot Services.

• Expertise in Azure Cognitive Search for intelligent information retrieval.

• Familiarity with managing and securing AI solutions using Azure Active Directory and Azure Key Vault.

• Understanding of Microsoft Dynamics 365 AI solutions for business applications.

Educational Background:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or related fields.

• Microsoft Certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, or Azure  Solutions Architect are highly desirable.