Job Description

Overview

With operations in 27 countries across 4 continents, M42 is at the epicenter of AI innovation in healthcare, driving the Emirati Genome Program, the world's largest population genome program. As part of a cross-functional and internationaly-trained team, you'll be working on cutting-edge AI projects that have a significant impact on global healthcare.

As a Machine Learning Engineer at M42, you will have the exciting opportunity to work on building AI systems powered by foundation models (Language - LLM, Imaging, Genomics, EHR). Your expertise will drive the seamless integration and enhancement of our foundation models with other components to improve overall performance and capabilities of the AI systems.

Responsibilities

* Collaboration: * Work with product managers and business owners to understand requirements.

* Data to Model * Create data pipelines and preprocess data from diverse sources (text, imaging, genomics, HER, etc.) to make it ready for model training. Monitor data quality through the process. * Build scalable and efficient ML pipelines powered by GPUs. * Implement a comprehensive model evaluation mechanism to measure and enhance model performance for superior metrics.

* Model Enhancement and System Augmentation * Augment capabilities of the foundation model using agent-based tooling such as LangChain and LlamaIndex. * Implement high-performant vector databases, knowledge graphs, reasoning engines, and other similar components to augment the capabilities of a foundation model.

* Deployment, Testing, and Prototyping * Deploy the AI models in a highly available and scalable manner. * Create model APIs for the software developers to consume in their applications. * Implement A/B testing mechanisms. * Implement guards against unintended inputs or unsupported usage of the system. * Prototype and present demo-ready AI solutions to various stakeholders.

Qualifications

Experience, Education, Skills:

* 3+ years of ML Engineering experience. * Experience of building models using structured and unstructured data. * Bachelor's/Master's degree in Computer Science, Machine Learning, AI, or related fields. * Experience with building products powered by NLP models and hands-on experience with MLOps tools, e.g., MLFlow.

Soft skills:

* Outstanding problem-solving abilities, critical thinking skills, and team-player spirit. * A strong interest in learning and growing - we work in a fast-evolving field.

What To Expect

Work Environment:

* Challenging healthcare AI problems, involving some of the largest datasets in the world. * Accomplished colleagues who are highly collaborative and collegial. * Fairly flat hierarchy (merit of ideas over rank) with high ownership for solving problems.

Career Growth:

* Opportunities for career progression. * Regular learning and development opportunities as a team (weekly reading/discussion groups) to help you grow in healthcare AI.