Sr ML Engineer

<p><b>Sr ML Engineer</b><br />
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<b>About SLB </b><br />
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Together we create amazing technology that unlocks access to energy for the benefit of all. We are a global technology company, driving energy innovation for a balanced planet. With operations in 120 countries, we have more than 98,000 from 170 different nationalities, we lead the industry focused on diversity and inclusion. Visit company website for more information.<br />
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<b>About the Bogota Information Technology Center (BITC) </b><br />
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The Bogota Information Technology Center (BITC) has a fundamental and critical role in SLB corporate transformation and for delivering digital solutions to the larger organization. Our company has embarked on a corporate transformation to deliver a step change in the reliability, efficiency and integration of our technologies, products and services. Advanced technologies are key enablers to this and encompass all aspects of business systems, including the organization platform and processes. Investments in and building strong competences across our technology pillars - SAP, Digital Enterprise Systems, Data and Analytics, Digital Operations, Security are key to an integrated digital that is positioned to deliver superior results.<br />
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<b>About this role </b><br />
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Schlumberger has an opening in Bogota, Colombia for a Machine Learning Engineer (MLE) role, who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company. The role will require working knowledge of Cloud, DevOps/ MLOps, Machine Learning, Deep Learning and Application Development. This position will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems.<br />
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<b>Responsibilities</b></p>

<ul>
<li>Script production-ready codes</li>
<li>Leveraging GPU &amp; CPU resources as appropriate / understanding capacity requirements for ML Workloads</li>
<li>Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud</li>
<li>Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions</li>
<li>Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time</li>
<li>Conduct internal workshops and external meetups, participate in external conferences, and give talks</li>
<li>Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed.</li>
</ul>

<p><b>Qualifications and Requirements </b><br />
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Essential qualifications</p>

<ul>
<li>A master&
39;s degree or PhD in Computer Science, Operations Research, Mathematics and Computing with 5-7 years of relevant experience</li>
<li>In-depth Understanding of key Machine Learning &amp; Deep Learning Algorithms</li>
<li>Experience of working with large data sets, coming from varied sources</li>
<li>Excellent Programming Skills (Python Preferred)</li>
<li>Experience in Cloud Application Development (Google Cloud Platform &amp; Azure Preferred)</li>
<li>Solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable</li>
<li>Great at solving problems; debugging; troubleshooting; and designing &amp; implementing solutions to complex technical issues</li>
<li>Experience working with deployment &amp; cloud orchestration tools (such as Airflow, Kubeflow, Seldon, SonarQube, Jenkins etc.</li>
<li>Proficiency in a Unix/Linux environment for automating processes with shell scripting</li>
<li>Hands on experience of designing, building, and supporting RESTful APIs</li>
</ul>

<p>Other skills and abilities</p>

<ul>
<li>Knowledge of Oilfield terminology and business practices</li>
<li>Experience with IoT/ Edge technology is a plus</li>
<li>Hands on experience of designing, building, and supporting RESTful APIs</li>
<li>Recognized open-source contributions</li>
<li>Familiarity with data engineering tools (Flink/Spark/Kafka etc.)</li>
<li>Experience with big data stack (Spark, Hadoop, Storm, Hive &amp; Pig) and NoSQL stores is a plus</li>
<li>Creativity and ability to formulate problems and solve them independently</li>
<li>Highly collaborative work style</li>
<li>Strong listening and communications skills</li>
<li>Presenting &amp; communicating information</li>
<li>Result and quality focused</li>
</ul>

<p><b>SLB as an employer </b><br />
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As a leading employer in our industry, SLB is proud to offer a highly competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or other characteristics protected by law.</p>

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