TL;DR

Senior ML Engineer/Data Scientist: Architect and develop multi-agent ML systems with an accent on model tuning, system modularity, and integration with clinical research tools. Focus on designing agent decision policies, diagnosing reasoning gaps, and ensuring reproducibility and workflow compatibility.

Location: USA, UK, EU with remote or office work options

Company

%hirify_global% is a product company specializing in AI and medtech solutions.

What you will do

Architect multi-agent systems including supervisor, router, and reasoning flow components
Develop and tune ML models ensuring reproducibility and documentation
Integrate MCP server and other tools to ensure workflow compatibility
Communicate ML findings to clinical research and external clients
Develop agent decision policies and refine routing logic
Mentor team members and support their professional development

Requirements

Location: USA, UK, or EU
English: Upper-Intermediate or higher
Proficiency in Python and data science frameworks
Experience with ML frameworks like PyTorch, Keras, and libraries such as NumPy, scikit-learn
Experience with LLM agents, multi-agent system architecture, and MCP tool integration
Strong communication skills and ability to work with external clients

Nice to have

Bioinformatics and drug development lifecycle knowledge
Knowledge of Knowledge Graphs (cypher)
Background in clinical development, health analytics, and biostatistics
Experience with real-world medical data and coding systems

Culture & Benefits

Competitive compensation
Flexible working hours with remote or office options
Healthcare benefits including medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
Certifications paid by the company
Work with a team of excellent tech expertise