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Where you fit in

The Principal AI/ML Engineer will join a vibrant team of Data Scientist and ML Engineer team working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Principal AI/ML Engineer will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. They will also be accountable for adhering to Shell quality standards for producing digital solutions.

What's the role

As a Principal AI Engineer, you will be responsible for initiating, development & delivery of data science solutions in an agile fashion to the business to provide insights & improvement to business processes or support the creation of innovative business models. The role is expected to manage large amounts of data; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings and produce and present results with dashboards.

Furthermore, your responsibilities include the following:

•  Lead a portfolio or programs in IDA

•  Lead small team of AI Engineers allocated to the project

•  Working within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to Shell use cases

•  Build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more

•  Build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization

•  Work closely with Infrastructure, data engineering and DevOp teams to increase deployment velocity, including the process for deploying models and data pipelines into production

• Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures

•  Keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry

• Contribute to community building initiatives like CoE, CoP

What we need from you

We're excited to connect with candidates who possess the following qualifications and are ready to take on the challenge:

• Extensive experience in Machine Learning with exposure to development competency across a breadth of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Scala, Reactive Streams, Kafka (Python preferred)

• Solid experience in System design of large Machine Learning Applications

• Solid experience in designing, developing, deploying, and monitoring machine learning and deep learning solutions and designing application using Azure Machine Learning Services

• Strong experience in Application development, deployment, and monitoring on Kubernetes and cloud Application Development using AWS or Azure

• Solid experience in implementing, Improving, and maintaining automated CI/CD pipeline

• Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.

• Development competency in data engineering and storage, including across breadth of tools such as S3, RDS, EFS, ADLS Gen2, Azure SQL, Azure Cosmos, ADF, No-SQL, graph db, Spark, etc.

• Proven experience in automating Infrastructure creation using Terraform, Helm

• Significant experience in distributed computing such as Spark, Pyspark and in distributed model training such as Horovod

• Strong experience in designing workflow or Orchestration systems such as Airflow, Dagster etc

• Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning.

• Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets.

• Good experience in applying ML algorithms, Optimization, and technologies to time series forecasting

• Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals.

• Strong communication skills, especially explaining technical concepts to business people & to collaborate in a multi-disciplinary team
  
  Nice to have skills:

• Experience in running portfolio or programs & leading small teams

• Data engineering skills using AWS/Google cloud native tools

• Designing ML application using Sagemaker/Google Vertex AI

• Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals.

• Front end application development using React

• Application development using .Net/c#

• Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning.

• Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets.

• Knowledge and experience in applying ML algorithms and technologies to time series forecasting, Machine Vision, NLP

• Commercial skills

COMPANY DESCRIPTION

Shell is a global group of energy and petrochemicals companies with over 90,000 employees in more than 70 countries and territories. We deliver energy responsibly; operate safely with respect to our neighbours and work to minimize our environmental impact. We are in search of remarkable people who will thrive in a diverse and inclusive work environment to deliver exciting projects locally and globally. People who are passionate about exploring new frontiers. Innovators and pioneers. People with the drive to help shape our future. Because remarkable people achieve remarkable things.

An innovative place to work

There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.

Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.

An inclusive place to work

To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills and reach your potential…

• We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply and we’ll take it from there.

• We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.

• We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.

• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

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