Senior ML Engineer

📋 Description

• Own ML projects end-to-end, from exploration to deployment.
• Design agentic LLM systems with tool use and retrieval.
• Develop evaluation strategies with offline/online tests.
• Improve model performance via prompt engineering and fine-tuning.
• Work across ML lifecycle: data prep, serving, monitoring, feedback.
• Collaborate with Product/Clinical/Engineering to translate needs.

🎯 Requirements

• Proven experience shipping production ML systems used by users.
• Hands-on with LLM-based systems: prompting, retrieval, tool calls, workflows.
• Strong evaluation capabilities and robust testing frameworks.
• Foundations in ML and ability to choose approaches by trade-offs.
• Experience with ambiguous problems and turning them into production solutions.
• Strong software engineering: production-grade code, distributed systems, debugging pipelines.

🎁 Benefits

• Competitive compensation adjusted to local market and cost of living.
• Total compensation may include base, variable, bonuses, equity where applicable.
• Compensation reviewed based on skills and impact.
• Opportunities for compensation growth as responsibilities increase.
• Country-specific benefits aligned with local regulations.
• Work on high-impact AI systems addressing healthcare challenges.