Job description

## Qualifications - The ideal candidate will have experience working with Azure AI services, LLMs, and cloud-based ML deployments to build scalable and efficient AI applications - Hands-on experience with Azure AI services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services - Experience with Cloud Foundry and deploying AI workloads on Azure Kubernetes Service (AKS) - Strong programming skills in Python, TensorFlow/PyTorch, or other AI frameworks - Familiarity with MLOps tools, version control, and CI/CD pipelines for AI applications - Knowledge of vector databases, embeddings, and fine-tuning of LLMs - Experience with APIs, RESTful services, and integrating AI into cloud-native applications ## Responsibilities - We are seeking a Gen AI Engineer with expertise in Azure Cloud Foundry to design, develop, and deploy AI-driven solutions - Develop and deploy Generative AI models on Azure Cloud Foundry and other Azure AI services - Fine-tune and optimize LLMs (Large Language Models) for specific business use cases - Integrate AI models with APIs, data pipelines, and cloud infrastructure for seamless deployment - Implement MLOps best practices for model training, monitoring, and versioning - Ensure security, scalability, and compliance with cloud-based AI solutions - Collaborate with cross-functional teams including data scientists, cloud engineers, and developers ## Full Description Role Overview: We are seeking a Gen AI Engineer with expertise in Azure Cloud Foundry to design, develop, and deploy AI-driven solutions. The ideal candidate will have experience working with Azure AI services, LLMs, and cloud-based ML deployments to build scalable and efficient AI applications. Key Responsibilities: • Develop and deploy Generative AI models on Azure Cloud Foundry and other Azure AI services. • Fine-tune and optimize LLMs (Large Language Models) for specific business use cases. • Integrate AI models with APIs, data pipelines, and cloud infrastructure for seamless deployment. • Implement MLOps best practices for model training, monitoring, and versioning. • Ensure security, scalability, and compliance with cloud-based AI solutions. • Collaborate with cross-functional teams including data scientists, cloud engineers, and developers. Required Skills & Qualifications: • Hands-on experience with Azure AI services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services. • Experience with Cloud Foundry and deploying AI workloads on Azure Kubernetes Service (AKS). • Strong programming skills in Python, TensorFlow/PyTorch, or other AI frameworks. • Familiarity with MLOps tools, version control, and CI/CD pipelines for AI applications. • Knowledge of vector databases, embeddings, and fine-tuning of LLMs. • Experience with APIs, RESTful services, and integrating AI into cloud-native applications.

Requirements