Assistant Manager - AI / ML Engineer

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 teams—including data scientists, software developers, and solution architects—to 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

Desirable Skills And Qualifications

Skills Required

Node.js, Azure Databricks, Sql, Azure Sql, Nosql, Azure Data Factory, Cosmos DB, Azure Machine Learning, Python