Senior Machine Learning & AI Engineer (Knowledge Graph Focus)

at  Prepaire Laboratory 7 Limited

Job Title: Senior Machine Learning & AI Engineer (Knowledge Graph Focus)
Location: Dubai & Abu Dhabi

QUALIFICATIONS:

• Education & Experience: Five or more years of experience in ML/AI roles. A Master’s or PhD in Computer Science, Bioinformatics, or a related field is a plus.
• Technical Stack: Proficiency in Python, TensorFlow/PyTorch, graph databases (Neo4j, TigerGraph), and knowledge graph construction.
• Domain Knowledge: Experience in genomics, proteomics, or healthcare analytics is preferred.
• Collaboration: Strong communication skills, ability to mentor junior ML engineers, and experience working in cross-disciplinary teams.

HOW TO APPLY:

We are looking for passionate innovators. If this sounds like you, send your resume to tajana.d@prepaire.com
Job Type: Full-tim

ROLE OVERVIEW:

We are seeking a seasoned Machine Learning & AI Engineer to help build, refine, and expand our knowledge graph—the “brain” behind GenetiQ. You will collaborate with a diverse team of data scientists, bioinformaticians, and software engineers to integrate cutting-edge models and develop new ways to represent biological complexity.

KEY RESPONSIBILITIES:

• Model Integration: Work with existing multi-omics, imaging, and clinical models and integrate them seamlessly into our platform.
• Knowledge Graph Development: Architect and maintain a robust knowledge graph for real-time, AI-driven insights.
• Algorithm Design: Develop and refine machine learning algorithms for personalized healthcare recommendations, disease modeling, and risk stratification.
• Data Collaboration: Work closely with the Database Tsar and data engineering teams to ensure a steady pipeline of clean, structured data.
• Performance Optimization: Ensure real-time or near-real-time performance of ML pipelines and scale them to handle increasing data volumes.