Software Developer (Azure Environment with AI & Analytics Knowledge)

Job Description

Role & responsibilities Develop and maintain scalable software solutions in the Microsoft Azure environment Integrate and utilize AI-powered analytics to optimize business processes Develop and deploy cloud-based AI and machine learning models using Azure AI Services Utilize Azure AI tools, including: Azure Cognitive Services (e.g., Computer Vision, Speech-to-Text, Text Analytics, Translator) Azure Machine Learning (train, deploy, and monitor ML models) Azure OpenAI Service (integrate AI models like GPT for text generation and automation) Azure Bot Services (develop intelligent chatbots) Azure Synapse Analytics (data analysis and big data processing) Azure Data Factory (data integration and ETL processes) Azure Databricks (data processing and machine learning on Apache Spark) Implement data analysis and pattern recognition algorithms to support decision-making processes Design and develop microservices using C# and .NET Core Integrate RESTful APIs, web services, and databases (SQL, NoSQL) Troubleshoot and optimize performance in distributed cloud architectures Implement container technologies (Docker, Kubernetes) for AI models and distributed applications Develop and utilize MQTT and real-time communication technologies for IoT and big data applications Collaborate with data scientists, DevOps teams, and software architects to enhance AI-powered applications Preferred candidate profile Degree in Computer Science, Data Science, Mathematics, or a related field Experience in software development with C# and .NET Core Strong knowledge of AI, machine learning, or data science, preferably with experience in Azure AI & Data Services Experience in developing and deploying ML models and integrating them into cloud systems Experience with SQL and NoSQL databases, data analysis, and processing Proficiency in RESTful APIs, web services, and microservice architectures Experience with container technologies (Docker, Kubernetes) for distributed systems Knowledge of OAuth and secure authentication/authorization concepts Experience in troubleshooting complex software solutions in distributed environments Familiarity with CI/CD pipelines and DevOps practices