OpenAI Self-Service Engineer

Job Summary We are seeking an experienced OpenAI Self-Service Engineer to design and develop advanced AI/ML solutions leveraging Azure OpenAI and related technologies. This role focuses on building scalable applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence. The ideal candidate will have deep expertise in machine learning frameworks, cloud deployment, and modern AI technologies. Key Responsibilities Ideate and develop AI/ML applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence. Utilize ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn for model development. Work with Azure OpenAI, Azure AI Foundry, Azure ML Studio, and Azure Kubernetes Service for AI solution deployment. Deploy Azure cloud services using Terraform templates and apply DevOps principles for automated deployments. Develop applications using Python frameworks such as Django, Flask, Django Rest, or FastAPI. Implement RAG models and Agents Frameworks to enhance GenAI solutions with advanced information retrieval. Create and maintain infrastructure for ingesting, normalizing, and combining datasets for actionable insights. Communicate complex technical concepts clearly to non-technical audiences and ensure client satisfaction. Collaborate with stakeholders to ensure successful project delivery. Required Qualifications Minimum experience required is 10+ years. Minimum 8+ years of experience in AI/ML development and deployment. Expertise in Azure OpenAI, Azure AI Foundry, Azure IAM, and Terraform. Strong proficiency in Python and related open-source frameworks. Hands-on experience with Terraform, DevOps principles, and automated deployments. Deep knowledge of ML frameworks (TensorFlow, PyTorch, Keras, Spacy, scikit-learn). Experience in building and deploying AI solutions in cloud environments. Education: Bachelors Degree