Microsoft AI Platform Developer
Job Description
Key Skills
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JOB TITLE: Microsoft AI Platform Developer
WORK SET UP: Onsite in Taguig
WORK SHIFT: Shifting
JOB TITLE: Microsoft AI Platform Developer
WORK SET UP: Onsite in Taguig
WORK SHIFT: Shifting
.
Roles & Responsibilities:
AI Solution Development
• Design and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure Cognitive Services.
• Develop and train machine learning models for predictive analytics, NLP, and computer vision tasks using Python and Azure ML pipelines.
• Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) and conversational AI (Bot Framework, Azure OpenAI Service) into enterprise applications
Collaboration & Business Alignment
• Work closely with data scientists, engineers, and business stakeholders to define AI use cases and translate business requirements into AI-driven solutions.
• Participate in solution architecture discussions to ensure scalability and alignment with enterprise standards.
Responsible AI & Governance
• Apply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models.
• Ensure compliance with data privacy, security, and governance standards across AI workloads.
Monitoring & Optimization
• Monitor AI workloads using Azure Monitor, Application Insights, and MLOps best practices.
• Continuously optimize model performance, cost-efficiency, and reliability.
Innovation & Best Practices
• Stay updated on Microsoft AI advancements, including Generative AI and Azure OpenAI Service.
• Promote ethical AI practices and contribute to continuous improvement initiatives.
Job Qualifications:
Professional & Technical Skills:
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• 3+ years of experience in AI/ML development using Microsoft technologies.
• Proficiency in Azure Machine Learning, Azure Cognitive Services, and Power Platform AI capabilities.
• Strong programming skills in Python (C# or R is a plus).
• Experience with data preprocessing, model deployment, and MLOps (Azure DevOps, GitHub Actions, MLflow).
• Knowledge of cloud architecture, API integration, and security best practices.
• Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications:
• Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate.
• Experience with Generative AI, Azure OpenAI Service, and Conversational AI.
• Familiarity with Azure AI Studio, AutoML, and Responsible AI frameworks.
• Knowledge of Power BI for integrating AI insights into dashboards.
Role
Account Manager
Timings
Day Shift (Permanent)
Industry
BPO
Work Mode
Work from office
Process
Voice
Functional Area
ITES / BPO / Customer Service
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