ML Engineer - II

About the role

DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences. Guided by our mission – Nobody waits for care – DexCare addresses tech gaps by aligning supply and demand to modernize healthcare infrastructures for an inclusive ecosystem. DexCare, a digital care orchestration platform, streamlines care delivery logistics.

What you'll do

• Build systems that ingest unstructured and inconsistent source material, such as policies, protocols, rules, and spreadsheets, and turn it into structured, versioned
• Build extraction, normalization, and validation pipelines using LLMs and classical techniques; detect conflicts, gaps, and stale information
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines that give downstream systems and agents accurate, grounded, and traceable answers with low latency
• Build, ship, and maintain components of the agentic systems that act on this knowledge, including orchestration, tool calling, and state management
• Build evaluation for the systems you ship: ground-truth datasets, accuracy metrics, regression tests that run before every release, LLM-as-judge and human review

What you need

• 3–5 yrs of experience
• Machine learning
• LLMs
• Python
• MLOps
• Data structures
• Any graduate

Good to have

• AWS
• Azure