[Hiring] AI Engineer/AI Lead @Sparix Global.

Role Description

We are seeking an experienced AI Engineer with a strong background in Data Science and Machine Learning, and hands-on experience building and operating AI solutions on Microsoft Azure, including Azure AI Foundry, Azure OpenAI, Fabric, and Azure MCP (Model Context Protocol). This role blends advanced ML/GenAI development with production-grade engineering and cloud architecture to deliver scalable, secure, enterprise AI systems.

Key Responsibilities

• Build, fine-tune, and deploy ML and GenAI models (predictive models, NLP, embeddings, RAG pipelines, LLM-powered agents)
• Design end-to-end AI architectures using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions, App Services, and AKS
• Design and operate MCP servers to expose enterprise tools, data sources, and workflows to AI agents
• Implement secure MCP connectors for knowledge bases, databases/APIs, and internal services with RBAC and auditability
• Partner with data engineers to build feature stores, training pipelines, and inference pipelines using Fabric/ADLS/Databricks
• Implement CI/CD for models and prompts, monitoring, drift detection, retraining pipelines, and versioning
• Implement security and governance using RBAC, Managed Identities, Azure Key Vault, logging, and data lineage
• Collaborate with Product, UX, Platform, and Business stakeholders to deliver production-grade AI systems

Qualifications

• 10+ years experience in Data Science, ML Engineering, or AI Engineering
• Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain or Semantic Kernel
• Hands-on experience with Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions or AKS
• Experience building RAG architectures, AI agents, and AI APIs
• Experience deploying ML/AI to production with monitoring, scaling, and reliability practices
• Strong understanding of the ML lifecycle, feature engineering, prompt engineering, and vector databases