D-TechWorks - Senior AI/ML Engineer - ChatGPT Enterprise & Azure OpenAI

Description

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About The Role

Key Responsibilities

• Use ChatGPT Enterprise to rapidly prototype, test, and iterate on custom GPTs tailored to specific use cases.
• Conduct Test & Evaluation (T&E) of each use case using defined success metrics to assess feasibility, value generation, and implementation complexity.
• Document outcomes, technical requirements, and learnings for further development phases.
• Work alongside the Cloud Specialist and DevOps Engineer to define the system architecture and pipeline integrations needed for enterprise-scale AI deployments.
• Translate AI technical requirements into design specs for UI and service components, guiding the Azure-based frontend/backend development process
• Lead the development and deployment of AI/ML solutions using ChatGPT Enterprise & Azure OpenAI, ensuring compliance with performance, security, and data governance standards
• Implement Retrieval-Augmented Generation (RAG) frameworks for advanced use cases requiring internal company knowledge integration.
• Optimize model performance, manage prompts, embeddings, vector databases, and feedback loops to improve outputs.
• Build reusable components and frameworks to enable rapid AI use case delivery across multiple departments.
  

Essential Skills

• 5+ years of experience in AI/ML engineering, including NLP-focused development.
• Deep expertise in ChatGPT Enterprise , Azure OpenAI Service, including deployment of GPT models, embeddings, prompt engineering, and integration with enterprise systems.
• Experience building custom GPTs and leveraging tools like LangChain, vector databases (e.g., Pinecone, FAISS), and RAG architectures.
• Proven ability to transition from prototype to production, with experience in DevOps/CI-CD workflows for ML pipelines.
• Strong programming skills in Python, including ML/NLP libraries such as OpenAI SDK, PyTorch, TensorFlow
• Familiarity with Azure tools : Azure ML, Azure Cognitive Services, Azure Storage, Azure Functions, etc.
  

Desirable Skills

• Microsoft Azure AI Engineer Associate or equivalent certification.
• Bachelor's or Masters in Computer Science, AI/ML, Data Science, or a related field.
• Experience building enterprise-grade AI applications at scale.
• Understanding of AI compliance, data privacy, and model governance practices.