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 Developme
- ntDesign and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure Cognitive Service
- s.Develop and train machine learning models for predictive analytics, NLP, and computer vision tasks using Python and Azure ML pipeline
- s.Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) and conversational AI (Bot Framework, Azure OpenAI Service) into enterprise applicatio
nsCollaboration & Business Alignme
- ntWork closely with data scientists, engineers, and business stakeholders to define AI use cases and translate business requirements into AI-driven solution
- s.Participate in solution architecture discussions to ensure scalability and alignment with enterprise standard
s.Responsible AI & Governan
- ceApply Responsible AI principles, ensuring fairness, transparency, and accountability in AI model
- s.Ensure compliance with data privacy, security, and governance standards across AI workload
s.Monitoring & Optimizati
- onMonitor AI workloads using Azure Monitor, Application Insights, and MLOps best practice
- s.Continuously optimize model performance, cost-efficiency, and reliabilit
y.Innovation & Best Practic
- esStay updated on Microsoft AI advancements, including Generative AI and Azure OpenAI Servic
- e.Promote ethical AI practices and contribute to continuous improvement initiative
s.
Required Skills & Qualificatio
- ns:Bachelor's degree in Computer Science, Data Science, Engineering, or related fie
- ld.3+ years of experience in AI/ML development using Microsoft technologi
- es.Strong programming skills in Python, with handson experience using PySpark for largescale data processing and ML feature engineeri
- ng.Proficiency in Azure Machine Learning, Azure Cognitive Services, and Power Platform AI capabiliti
- es.Experience with data preprocessing, model deployment, and MLOps (Azure DevOps, GitHub Actions, MLflo
- w).Knowledge of cloud architecture, API integration, and security best practic
- es.Excellent analytical, problem-solving, and communication skil
ls.
Preferred Qualificati
- ons:Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associ
- ate.Experience with Generative AI, Azure OpenAI Service, and Conversational
- AI.Familiarity with Azure AI Studio, AutoML, and Responsible AI framewo
- rks.Knowledge of Power BI for integrating AI insights into dashboa
rds.
