Gen AI Engineer

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.