Machine Learning Engineer
Group 42
Abu Dhabi, Abu Dhabi, AE
منذ 6 يوم
source : WHATJOBS

Overview

Looking for an ambitious, passionate and creative-minded Machine Learning Engineer, to support the development of Machine Learning Operations at G42 Healthcare, driving and enabling automated machine learning model deployments and managing the full lifecycle of our ML projects.

The opportunity

To play a key supporting role in shaping the overall Machine Learning Operations strategy & capabilities G42 Healthcare!

G42 Healthcare is committed to developing a world-class, sustainable healthcare sector in the UAE and wider region. At the forefront in the battle against the pandemic, G42 Healthcare partnered with Abu Dhabi authorities to develop a massive throughput laboratory in 14 days and spearheaded the world’s first Phase 3 clinical trial of COVID-19 inactivated vaccine.

Beyond Covid-19, G42 Healthcare is also developing a program of activities to support the health of future generations ranging from genomics, imaging and diagnostics to digitization programs, manufacturing and cutting-edge research.

Key responsibilities

Lead projects and advocate for ML excellence

Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, GPU)

Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

Suggest, collect and synthesize requirements and create effective feature roadmaps

Code deliverables in tandem with the engineering team

ML model’s deployment, testing and continues maintenance

Qualifications

To qualify, you must have

5+ years of experience as a software engineer.

2+ years of experience in one or more of the following areas : machine learning, recommendation systems, pattern recognition, data mining, deep learning, artificial intelligence

Experience with developing machine learning models at scale from inception to business impact

Knowledge developing and debugging in Python

Masters degree or PhD in Computer Science or a related technical field

Exposure to architectural patterns of large scale software applications

At Least 2+ years of experience using frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. and ability to understand tools used by data scientists

Demonstrated ability to build MLOps pipelines on cloud solutions (AWS, GCP)

Experience with MLOps Frameworks like Kubeflow, MLFlow, Airflow etc.

Experience with Docker and Kubernetes

What we look for :

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions.

Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.

What working at G42 offers :

Culture : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career : Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life : A hybrid work policy to strike the perfect balance between office and home.

Rewards : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

About G42

G42 is a global leader in creating visionary artificial intelligence for a better tomorrow. Born in Abu Dhabi and operating across the world, G42 champions AI as a powerful force for good.

Its people are constantly reimagining what technology can do, applying advanced thinking and innovation to accelerate progress and tackle society’s most pressing problems.

G42 is driving change in the region and beyond, joining forces with nations, corporations and individuals to create the infrastructure for tomorrow’s world.

From molecular medicine to space travel and everything in between, G42 realizes exponential possibilities, today.

To confidently demonstrate that you meet the criteria above, please contact us.

G42 is the force that gets you further. Join us.

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