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Syndesus, Inc. Linkedin · Posted 26d ago

Machine Learning Engineer

Austin, Texas, United States

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Indexed description


About the Company



Our client is revolutionizing healthcare by streamlining knowledge workflows with AI. They reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. They’re growing fast and looking for bold, driven teammates to join them


.
About the Ro


le
Our client is seeking a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver measurable impa


ct.
Responsibili


  • ties
    Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization,
  • etc.)Fine-tune and evaluate LLMs using both open-source and proprietary
  • dataCollaborate with product and engineering teams to build real-world applications in healthcare and biop
  • harmaImplement retrieval strategies, prompt chaining, and inference orchestration for production use
  • casesMonitor and improve model quality, latency, explainability, and s
  • afetyStay ahead of the curve in LLM evaluation, tuning, and agent-based architec


tures
Qualific


  • ations
    3–6 years of experience in applied ML, with at least 1–2 years working wi


th LLMs
Require


  • d Skills
    Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaInd
  • ex, etc.)Comfort with embeddings, vector search, retrieval pipelines, and prom
  • pt tuningBias for experimentation, clarity, and pushing solutions into productio
  • n quicklyUnderstanding of responsible AI practices, model evaluation, and obse
  • rvabilityExperience in healthcare, compliance-sensitive data, or regulated env


ironments
Pay range and compensati


  • on package
    Opportunity to make a real impact on the future of
  • healthcareAutonomy, ownership, and growt
  • h potentialCompetitive compensation a
  • nd benefits100% employer-paid health, vision, and denta
  • l insuranceRetirement plans (401k), disability insurance, and employee assistan


ce programs
This position is open only to individuals who are legally authorized to work in the United States on a permanent basis. At this time, the company is unable to sponsor or take over sponsorship of employment visas (including H-1B, OPT, CPT, or other non-immigran


t statuses).
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