Senior Machine Learning & AI Engineer​/Graph Focus

## Full Description

Job Title: Senior Machine Learning & AI Engineer (Knowledge Graph Focus)

Location:

Dubai & Abu Dhabi

About Prepaire Labs:

At Prepaire Labs, we are driving the future of personalized medicine with our Geneti

Q Digital Twin. We leverage multi-omics, advanced AI models, and real-world evidence to create a dynamic twin that predicts health outcomes and optimizes treatments.

Role Overview:

We are seeking a seasoned Machine Learning & AI Engineer to help build, refine, and expand our knowledge graph—the “brain” behind Geneti

Q. 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.

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, Tensor Flow/PyTorch, graph databases (Neo4j, Tiger Graph), 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.

What We Offer?

• Competitive salary and growth opportunities.

• The opportunity to drive innovation in the personalized medicine space.

• Access to cutting-edge research, data, and tools.

• A collaborative and forward-thinking environment where your ideas can make an impact.

How to Apply:

We are looking for passionate innovators. If this sounds like you, send your resume to

Job Type: Full-time

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