Machine Learning Engineer / Data Scientist

pythontensorflowpytorch
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We're 22,000 colleagues in more than 30 countries delivering oil, gas, wind and solar power to 170 million people worldwide. Taking on tough energy challenges is our job. Right now, we're facing an enormous task: supplying the world with the energy it needs, while lowering emissions.

We're up for the challenge. Are you?


The position

By joining our team in Technology, Digital & Innovation you will have the opportunity to:
  • Collaborate with stakeholders to define clear objectives and solve complex problems.
  • Manage and analyze vast datasets within our cloud ecosystem.
  • Develop scalable AI solutions, leveraging existing services or innovating new ones.
  • Integrate ML workflows into our suite of products, adhering to deployment standards.
  • Advance our ML models with the latest deep learning techniques.
  • Ensure your models perform optimally in production, delivering continuous value.

We are looking for an experienced and passionate Machine Learning Engineer / Data Scientist to join our Time-series AI team and contribute to our mission of delivering excellence. The team is one of several teams in our central Design, Software and Data Science (DSD) unit within Technology Digital and Innovation (TDI). We specialise in processing and interpreting time-series data for various applications across Equinor and create and deliver innovative AI products that generate significant business value. 


You

Some qualities are essential for Equinor. You identify with our values, open, collaborative, courageous and caring, which guide our decisions and help us succeed and grow. You make safety your priority and contribute to our zero-harm culture. For this position, we are also looking for:

  • PhD, Bachelor’s or Master's Degree in Computer Science, Statistics, Applied Mathematics, Engineering or equivalent fields.

  • 3+ years of experience in ML/AI product development and iterative work: from data generation/collection to visualisation and explainability.

  • Experience working with any of the following machine learning frameworks / libraries: sklearn, tensorflow, keras, pytorch, numpy, scipy.

  • Coding skills in Python, experience with containerisation and micro-services development.

  • Knowledge/experience developing real-world Artificial Intelligence/Machine Learning (AI/ML) applications such as prediction, personalisation, recommendation, optimisation and content understanding.

  • Knowledge/experience in creating ML workflows on sequences and timeseries with experience in applying signal processing and or spectrum analysis is desirable.

  • Fluency in English, both written and oral.


General information

Please attach copies of your CV, diplomas, certificates and grades in English or a Scandinavian language.

Applications submitted without necessary attachments will unfortunately not be evaluated.
If you are in the process of completing a degree, please upload an official temporary transcript or other document describing subjects and grades completed to this point.

Candidates are expected to openly offer all relevant information about themselves during the recruitment process. Candidates will be asked for information on affiliation to high-risk countries for a security assessment. Furthermore, background checks are performed on all final candidates and all permanent and temporary hires will be screened against relevant sanctions lists to ensure compliance with sanctions law.

Why join us?

At Equinor, we care about each other as much as our business. That's why we offer:

  • Not just a job; a career. In Equinor, your development begins on day one. You will build your competence through a wide range of learning activities while being empowered to build your career across multiple disciplines and geographies. Our internal job market allows endless opportunities for development and growth within your own field or in other interesting and relevant areas for you.
  • Attractive rewards. We offer a comprehensive benefits package with competitive salaries, global parental leave, variable pay schemes and a share savings plan.
  • Wellness and work-life balance. Our employees' well-being is a priority. We recognise that for you to be the best version of yourself in the workplace, being able to collect your children, attend a class or simply enjoy social time can be invaluable. That's why we encourage you to make use of our flexible work arrangements.
  • An inclusive culture. We believe embracing our differences makes us stronger. For us true inclusion means being able to bring your whole self to work, and for everyone to feel accepted and valued.

For more information visit Equinor's website: https://www.equinor.com/