Full Stack AI/ML Engineer - Azure/Microsoft Stack

<p><p><b>Description:</b></p><br/><p>Key Responsibilities : </p><p><br/></p><p>- AI/ML & Data Science</p><br/><p>- Design, develop, and deploy machine learning models using Python, Azure AI Studio, Prompt Engineering, and ML frameworks.</p><br/><p>- Perform data preparation, feature engineering, and model evaluation.</p><br/><p>- Integrate ML models into enterprise applications and workflows.</p><br/><p>Data Pipeline & Transformation : </p><p><br/></p><p>- Build and optimize data pipelines in Microsoft Fabric for ingestion, transformation, and semantic modeling.</p><br/><p>- Ensure data standardization, quality, and availability for analytics and applications.</p><br/><p>Full Stack & Software Development : </p><p><br/></p><p>- Develop scalable applications using C#, .NET, and modern frontend frameworks.</p><br/><p>- Build and integrate REST APIs for data and AI-powered applications.</p><br/><p>- Apply software engineering best practices (CI/CD, testing, DevOps).</p><br/><p>Cloud & Platform Engineering : </p><p><br/></p><p>- Deploy solutions on Microsoft Azure (Azure Functions, Data Lake, App Services, AI Studio) and OpenAI LLM Models</p><br/><p>- Ensure solutions meet enterprise standards for security, performance, and compliance.</p><br/><p>- Collaborate across teams (data scientists, engineers, business stakeholders) to deliver end-to-end solutions.</p><br/><p><b>Technical Skills :</b></p><br/><p>- Proficiency in Python for ML, data science, and pipelines.</p><br/><p>- Strong development experience in C#, .NET, and API integration.</p><br/><p>- Hands-on experience with Microsoft Fabric for data pipeline & transformation.</p><br/><p>- Familiarity with Azure AI Studio and Azure services for deployment.</p><br/><p>- SQL knowledge for data modeling and semantic views.</p><br/><p>- Exposure to modern frontend frameworks (React, Angular, or Blazor) is a plus.</p><br/><p><b>Experience :</b></p><br/><p>- 3 - 7 years of professional experience in software engineering, data engineering, or AI/ML development.</p><br/><p>- Proven track record of integrating AI/ML capabilities into enterprise applications.</p><br/><p>- Experience with cloud platforms (preferably Microsoft Azure).</p><br/><p><b>Soft Skills :</b></p><br/><p>- Strong analytical and problem-solving abilities.</p><br/><p>- Ability to collaborate across multidisciplinary teams.</p><br/><p>- Excellent communication and documentation skills</p><br/></p> (ref:hirist.tech)