Microsoft AI Platform Developer
We are seeking a skilled professional to design, develop, and deploy AI-driven solutions using Microsoft’s AI ecosystem. This role focuses on leveraging Azure Machine Learning, Azure Cognitive Services, and related tools to build scalable, secure, and responsible AI applications that enhance business processes and customer experiences.
Key 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.
Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- 3+ years of experience in AI/ML development using Microsoft technologies.
- Strong programming skills in Python, with hands‑on experience using PySpark for large‑scale data processing and ML feature engineering.
- Proficiency in Azure Machine Learning, Azure Cognitive Services, and Power Platform AI capabilities.
- 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.
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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.