Azure AI Developer

As an Azure AI Developer, your role involves designing, developing, deploying, and maintaining AI-driven solutions using Microsoft Azure AI services and tools. Your expertise in artificial intelligence, machine learning, and cloud-based application development will enable organizations to leverage Azure's AI capabilities for business innovation and intelligent application experiences. Key Responsibilities: - Design and implement AI/ML solutions using Azure AI services like Cognitive Services, Azure Machine Learning, and Azure OpenAI. - Develop and maintain applications using Python and C# programming languages. - Integrate AI solutions into enterprise applications via REST APIs and SDKs. - Handle data ingestion, processing, and preparation for AI/ML model training. - Train, evaluate, and deploy AI/ML models within Azure infrastructure. - Ensure solutions are robust, scalable, and aligned with business objectives. - Collaborate with cross-functional teams to translate business requirements into AI solutions. - Apply best practices in AI security, compliance, and performance optimization. - Maintain documentation for AI workflows, model lifecycle, and deployment processes. Required Skills & Experience: - 4+ years of relevant IT experience with a total of 7 years in AI/ML or Azure cloud-based development. - Proficiency in Azure AI services such as Cognitive Services, Azure ML, and Azure OpenAI. - Strong programming skills in Python and C#. - Experience working with REST APIs, SDKs, and cloud infrastructure on Azure. - Solid understanding of AI/ML concepts, model training, evaluation, and deployment. - Strong analytical and problem-solving abilities with attention to detail. - Excellent communication and stakeholder collaboration skills. Good to Have: - Experience with Azure Data Factory, Synapse Analytics, or Databricks for data pipelines. - Exposure to MLOps practices for managing AI model lifecycle. - Familiarity with Agile methodology and DevOps in AI projects. As an Azure AI Developer, your role involves designing, developing, deploying, and maintaining AI-driven solutions using Microsoft Azure AI services and tools. Your expertise in artificial intelligence, machine learning, and cloud-based application development will enable organizations to leverage Azure's AI capabilities for business innovation and intelligent application experiences. Key Responsibilities: - Design and implement AI/ML solutions using Azure AI services like Cognitive Services, Azure Machine Learning, and Azure OpenAI. - Develop and maintain applications using Python and C# programming languages. - Integrate AI solutions into enterprise applications via REST APIs and SDKs. - Handle data ingestion, processing, and preparation for AI/ML model training. - Train, evaluate, and deploy AI/ML models within Azure infrastructure. - Ensure solutions are robust, scalable, and aligned with business objectives. - Collaborate with cross-functional teams to translate business requirements into AI solutions. - Apply best practices in AI security, compliance, and performance optimization. - Maintain documentation for AI workflows, model lifecycle, and deployment processes. Required Skills & Experience: - 4+ years of relevant IT experience with a total of 7 years in AI/ML or Azure cloud-based development. - Proficiency in Azure AI services such as Cognitive Services, Azure ML, and Azure OpenAI. - Strong programming skills in Python and C#. - Experience working with REST APIs, SDKs, and cloud infrastructure on Azure. - Solid understanding of AI/ML concepts, model training, evaluation, and deployment. - Strong analytical and problem-solving abilities with attention to detail. - Excellent communication and stakeholder collaboration skills. Good to Have: - Experience with Azure Data Factory, Synapse Analytics, or Databricks for data pipelines. - Exposure to MLOps practices for managing AI model lifecycle. - Familiarity with Agile methodology and DevOps in AI projects.