The Role
The ML/LLM Engineer will optimize pipelines for ML and LLM systems, fine-tune models, collaborate on healthcare applications, and enhance model quality and safety.
Summary Generated by Built In
About Our Client
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.
The Opportunity
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 impact.
What You’ll Do
- 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 data
- Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
- Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
- Monitor and improve model quality, latency, explainability, and safety
- Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures
Qualifications
- 3–6 years of experience in applied ML, with at least 1–2 years working with LLMs
- Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
- Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
- Bias for experimentation, clarity, and pushing solutions into production quickly
- Understanding of responsible AI practices, model evaluation, and observability
- Experience in healthcare, compliance-sensitive data, or regulated environments
What Our Client Offers
- Opportunity to make a real impact on the future of healthcare
- Autonomy, ownership, and growth potential
- 100% employer-paid health, vision, and dental insurance
- Retirement plans (401k), disability insurance, and employee assistance programs
Work Authorization:
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-immigrant statuses).
Candidates must be U.S. citizens or lawful permanent residents (Green Card holders) to be eligible for this role.
The base pay range for this role is $140,000 – $160,000 per year.
Skills Required
- 3-6 years of experience in applied ML
- 1-2 years working with LLMs
- Strong Python skills
- Familiarity with ML/LLM frameworks
- Experience in healthcare or regulated environments
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The Company
What We Do
Syndesus builds engineering teams in Canada for US-based VC-backed startups, offering Employer of Record (PEO) services for remote employment and assisting with cross-border hiring and immigration issues.
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