Job Description
Azure AI/ML Engineer - Job Description
Position Summary
We are seeking a highly skilled Azure AI/ML Engineer to design, develop, and deploy end-to-end AI and machine learning solutions on the Azure cloud platform. The ideal candidate will have a strong background in software engineering and data science, with hands-on experience in Azure AI services, neural network architectures, and modern development practices. You will collaborate with cross-functional teamsincluding data scientists, software developers, and solution architectsto integrate AI capabilities into business processes and applications.
Key Responsibilities
- Design, build, and deploy scalable and reliable AI/ML models using Azure services such as Azure AI Foundry, Azure Machine Learning, and Azure Cognitive Services.
- Implement and fine-tune deep learning models, including traditional Neural Networks (NNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Large Language Models (LLMs), for a variety of use cases across NLP and computer vision domains.
- Apply knowledge of Agentic AI frameworks to design systems capable of autonomous decision-making and task execution.
- Integrate LLMs and other AI models with external data sources and tools using standardized frameworks like the Model Context Protocol (MCP) to enhance model capabilities.
- Develop and maintain data pipelines for ingestion, preprocessing, and transformation using Azure Data Factory and Azure Databricks.
- Manage the full lifecycle of machine learning models, including deployment, monitoring, and maintenance, applying MLOps best practices.
- Ensure the security, performance, and scalability of AI solutions through robust monitoring and optimization strategies.
- Collaborate with development teams to integrate AI models into new and existing applications built with technologies like .NET and Python.
- Develop server-side logic using Node.js and integrate AI models with web applications using Application-to-Application (A2A) patterns and Azure Integration Services.
- Work with stakeholders to define requirements and translate business needs into technical solutions.
Required Skills And Qualifications
- Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.Minimum of five years of proven experience as an AI/ML Engineer, with a strong focus on designing and deploying solutions on the Azure cloud platform during the last few years.
- Strong programming proficiency in Python for machine learning and data analysis.
- Proficiency in Node.js for back-end development.
- Hands-on experience with Azure AI/ML services, including Azure Machine Learning, Azure OpenAI, and Azure Cognitive Services.
- Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG) techniques.
- Understanding of machine learning algorithms and deep learning frameworks, with experience in neural network architectures (NNs, CNNs, RNNs) and LLMs.
- Familiarity with NLP and computer vision techniques and applications.
- Exposure to Agentic AI frameworks and their application in real-world systems.
- Solid understanding of both SQL and NoSQL databases, including Azure SQL and Cosmos DB.
Desirable Skills And Qualifications
- Familiarity with Microsoft Power Apps and the .NET framework.
- Experience with Azure services such as Azure Web Apps, Azure Functions, Azure Container Instances, and Azure Integration Services.
- Experience with Azure Data Factory, Azure Databricks, and Azure Blob Storage.
- Experience with Model Context Protocol (MCP) for connecting AI systems to external data and tools.
- Understanding of Application-to-Application (A2A) integration patterns and architectures.
- Knowledge of MLOps tools and CI/CD pipelines for automating the ML lifecycle.
- Experience with Docker and Kubernetes for containerization and orchestration.
