Azure AI Developer
Job Title: Azure AI Developer
Design, develop, and implement AI solutions (AI Agents, Conversational Bots and other AI services) using C#, Azure Open AI, and other relevant technologies. Develop Various types of Copilots, connectors/plug-ins and implement copilot extensibility
Role Responsibilities
• Design and develop AI-driven applications utilizing Azure services.
• Implement machine learning models to analyze data and improve decision-making.
• Create RESTful APIs for AI solutions to integrate with existing systems.
• Collaborate with cross-functional teams to define project scope and requirements.
• Optimize and deploy machine learning models on Azure cloud infrastructure.
• Conduct data preprocessing and feature engineering to enhance model performance.
• Monitor and evaluate the performance of AI applications.
• Stay updated with the latest AI trends and technologies relevant to Azure.
• Document development processes, technical specifications, and user guides.
• Participate in code reviews and provide constructive feedback.
• Support the implementation of DevOps practices for continuous integration and delivery.
• Assist in troubleshooting and resolving issues in AI applications.
• Develop prototypes and proof-of-concept applications.
• Train and mentor junior developers on AI and Azure best practices.
• Engage with stakeholders to gather feedback and iteratively improve solutions.
Qualifications
• Strong understanding of machine learning algorithms and frameworks.
• Proficiency in programming languages, particularly Python.
• Experience with data manipulation and analysis tools.
• Familiarity with cloud architecture and microservices.
• Knowledge of API development and integration.
• Understanding of DevOps methodologies and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines.
• Experience with Azure Machine Learning and Cognitive Services.
• Commitment to continuous learning and professional development.
• Experience with containerization tools like Docker is a plus.
• Knowledge of Agile methodologies is preferred.
• Experience in deploying models in production environments.
Skills: api development,cloud architecture,devops practices,develop,ai,containerization (docker),restful apis,azure open ai,data analysis,agile methodologies,cloud computing,c#,azure,design,devops,microservices,data manipulation,machine learning,python,team collaboration
Job Title: Azure AI Developer
Design, develop, and implement AI solutions (AI Agents, Conversational Bots and other AI services) using C#, Azure Open AI, and other relevant technologies. Develop Various types of Copilots, connectors/plug-ins and implement copilot extensibility
Role Responsibilities
• Design and develop AI-driven applications utilizing Azure services.
• Implement machine learning models to analyze data and improve decision-making.
• Create RESTful APIs for AI solutions to integrate with existing systems.
• Collaborate with cross-functional teams to define project scope and requirements.
• Optimize and deploy machine learning models on Azure cloud infrastructure.
• Conduct data preprocessing and feature engineering to enhance model performance.
• Monitor and evaluate the performance of AI applications.
• Stay updated with the latest AI trends and technologies relevant to Azure.
• Document development processes, technical specifications, and user guides.
• Participate in code reviews and provide constructive feedback.
• Support the implementation of DevOps practices for continuous integration and delivery.
• Assist in troubleshooting and resolving issues in AI applications.
• Develop prototypes and proof-of-concept applications.
• Train and mentor junior developers on AI and Azure best practices.
• Engage with stakeholders to gather feedback and iteratively improve solutions.
Qualifications
• Strong understanding of machine learning algorithms and frameworks.
• Proficiency in programming languages, particularly Python.
• Experience with data manipulation and analysis tools.
• Familiarity with cloud architecture and microservices.
• Knowledge of API development and integration.
• Understanding of DevOps methodologies and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines.
• Experience with Azure Machine Learning and Cognitive Services.
• Commitment to continuous learning and professional development.
• Experience with containerization tools like Docker is a plus.
• Knowledge of Agile methodologies is preferred.
• Experience in deploying models in production environments.
Skills: api development,cloud architecture,devops practices,develop,ai,containerization (docker),restful apis,azure open ai,data analysis,agile methodologies,cloud computing,c#,azure,design,devops,microservices,data manipulation,machine learning,python,team collaboration
