Machine Learning Engineer

<p><b>Aramco energizes the world economy. </b><br />
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Aramco occupies a unique position in the global energy industry. We are the world&
39;s largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.<br />
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With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco&
39;s value to society.<br />
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Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&
39; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&
39;s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.<br />
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We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.<br />
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<b>Overview</b><br />
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Aramco.ai division is Saudi Aramco&
39;s center of excellence for AI technologies and data science. Aramco.ai is responsible for providing AI-powered solutions to various business functions within Saudi Aramco. The solutions leverage the latest technological advancements of Artificial Intelligence to create business values across Aramco&
39;s value chain.<br />
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The primary role of a Machine Learning Engineer is to work closely with Aramco&
39;s business functions, stakeholders and functional teams to build, evaluate and deploy AI digital products. I addition, you will give consultations on AI use case productionalization assessments, contribute to model deployment blueprints, and formulate and conceptualize AI solutions.<br />
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<b>Duties &amp; Responsibilities</b></p>

<ul>
<li>Work with stakeholders to identify opportunities to solve business problem by leveraging AI and Aramco&
39;s data assets</li>
<li>Analyze data from various internal and external data sources to drive value supporting the strategic objectives of the business.</li>
<li>Use MLOps concepts and tools to monitor, optimize, improve and deploy AI-enabled solutions.</li>
<li>Develop pipelines for CI/CD of AI digital products</li>
<li>Develop backend services and APIs to interface with machine learning models.</li>
<li>Develop custom machine learning models and algorithms as needed and appropriate to address problems at hand.</li>
<li>Develop A/B testing mechanisms and test model quality and value, and validate hypothesis accordingly.</li>
<li>Coordinate with different functional teams to deploy digital products and monitor outcomes.</li>
<li>Develop necessary documentation as per established standards.</li>
</ul>

<p><b>Minimum Requirements</b></p>

<ul>
<li>A Bachelor&
39;s degree (Master&
39;s or PhD is preferable) in Machine Learning, Data Science, Computer Science, Computer Vision, Applied Mathematics, Applied Physics or a related field from a recognized program.</li>
<li>At least 5 years of experience in building, deploying and monitoring AI digital products and solutions.</li>
<li>Strong knowledge of at least one from: Natural Language Processing, Computer Vision or Time Series Modelling</li>
<li>Familiarity with agile development and ideally a certified SCRUM master.</li>
<li>Ability to demonstrate experience developing ideas from concept to product.</li>
<li>Strong knowledge of using MLOps tools (e.g. MLflow, kubeflow, weights and biases, tensor board), data version control systems and CI/CD practices.</li>
<li>Familiarity with ETL pipelines, data flow, handling industrial plant data and using data pipeline tools such as airflow, Kafka.</li>
<li>Proficiency with visualization tools incl. matplotlib, bokeh, plot.ly/3D, etc.</li>
<li>Fluent in Python, SQL and established machine learning libraries such as Keras, TensorFlow, Pytorch, Caffe.</li>
<li>Ability to package and deploy digital solutions using openshift, Docker, Kubernetes, etc.</li>
<li>Able to communicate machine learning concepts to non-technical audiences.</li>
<li>Deploying model on edge devices (e.g. Nvidia Jetson) is a plus</li>
</ul>

<p><b>Working environment </b><br />
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Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.<br />
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At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world&
39;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.<br />
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We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.</p>

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