*Position Summary:*

We are seeking a highly skilled and experienced GenAI Engineer to join our team. The ideal candidate will have a strong background in GenAI development, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred. As a GenAI Engineer, you will play a key role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies.

*Role and Responsibilities:*

• Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.
• Collaborate with cross-functional teams to gather requirements and define project objectives.
• Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.
• Develop and maintain scalable and efficient codebase for GenAI applications. · Optimize GenAI models and algorithms for performance and accuracy.
• Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.
• Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.
• Provide technical guidance and mentorship to junior team members.
• Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

*Requirements:*

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.
• Strong programming skills in languages such as Python and/or Java.
• Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.
• Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.
• Solid understanding of machine learning algorithms and deep learning frameworks.
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Strong problem-solving and analytical skills. · Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.

*Preferred Qualifications:*

• Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.
• Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML
• Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Familiarity with DevOps practices and tools for CI/CD pipelines. · Contributions to open-source GenAI or cloud service integration projects