Azure Data Analyst

Job Summary

Proven GenAI Engineer skilled in integrating Azure and OpenAI technologies to develop and deploy advanced AI solutions. Applies machine learning expertise and cloud services to deliver scalable, efficient GenAI applications in dynamic environments.

Responsibilities

• Develop and integrate GenAI solutions using Azure services including Azure Machine Learning, Azure Cognitive Services, and Azure Functions to meet project goals
• Apply programming skills in Python and/or Java to build, test, and optimize AI models and applications
• Utilize OpenAI technologies such as GPT-3/4 and reinforcement learning frameworks to enhance AI capabilities
• Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality machine learning outcomes
• Analyze and solve complex technical problems to improve AI system performance and reliability
• Collaborate effectively with cross-functional teams to deliver AI projects within fast-paced environments
• Work independently to manage tasks and contribute to team objectives in AI development projects

Preferred competencies and qualifications

• Experience with AWS services including Amazon SageMaker, AWS Lambda, and AI/ML offerings to support multi-cloud AI deployments
• Knowledge of Google Cloud services such as Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML for diverse cloud integration
• Skills in deploying and scaling GenAI applications on Azure, AWS, and Google Cloud platforms to ensure robust cloud performance
• Familiarity with containerization technologies like Docker and Kubernetes to facilitate application portability and management
• Understanding of DevOps practices and CI/CD tools to streamline AI model deployment and updates
• Contributions to open-source GenAI or cloud integration projects demonstrating community engagement and technical leadership