Teams at Jade Global

Build and improve LoRA and full fine-tuning workflows for LLMs on GPU infrastructure deployed on AKS. Own dataset ingestion, transformation, validation, and training pipelines while maintaining shared configuration and logging contracts. The role requires strong Python and PyTorch experience, hands-on LLM fine-tuning, CUDA/GPU debugging, and data pipeline development. Preferred experience includes vLLM, Azure Blob Storage, Snowflake, and Kubernetes.

Design, develop, deploy, and optimize scalable machine learning models and workloads on cloud platforms. Build ML scoring processes, APIs, microservices, automated workflows, monitoring, and alerting. Support ML go-to-market initiatives and collaborate with Product and Engineering teams on compliant architecture and deployment. The role requires Databricks, cloud ML, end-to-end ML systems, data pipelines, FastAPI, data warehouses, Docker, Kubernetes, and strong software engineering practices.

Lead customer discovery, architect and build production AI applications and agentic systems, integrate enterprise data and applications, and establish rigorous evaluations. Own deployment readiness, security, monitoring, reliability, and operational handoff while guiding delivery teams and writing production code. Measure adoption and business impact, troubleshoot post-launch issues, and develop reusable AI engineering components and delivery practices.