Machine Vision Researcher

**The Role**:
**JOB TITLE: Machine Vision Researcher**

**Where you fit**

Within Royal Dutch Shell Group there is a huge amount of data collected and we have a dedicated AI team in Shell working on extracting useful information from the data to help business decisions.

The Computer Vision (CV) Specialist will work in our AI team within Shell’s broader Digitalization Organization. As a CV Specialist, he/she will be responsible for using cutting-edge technology in Computer Vision field for instance, Deep Learning based model building, object detection and recognition, activity recognition to deliver projects. He/she should have a great understanding of Computer Vision algorithms and tools. He/she should have a good understanding of state-of-the-art technologies and are willing to explore technologies to contributing to delivering business values. He/she will use these methods in a broader sense, to solve business problems by working with business SME/users to assess opportunities and review expected outputs.

**What’s the role?**

Your accountabilities are:

- Responsible for development & delivery of Computer vision innovation solutions in an agile fashion to the business in order to provide insights & improvement to business processes and solving business problems.
- Accountable for working with business to prepare requirements and technical feasibility study for a computer vision related project.
- Accountable for delivering Computer vision projects.
- Accountable for bringing innovative technologies into Shell.
- Building constructive and trusting relationships with mostly remote business stakeholders.
- Dealing with challenges in data acquisition from other parts of the business.

**What we need from you**
- Master or PhD degree in Computer Vision, Computer Science or relevant areas with at least 3 years of relevant experience.
- Proven practical experience with working on Computer Vision projects
- Experience in one of the following deep learning frameworks such as TensorFlow, Keras, PyTorch, etc and familiar with state-of-the-art Computer Vision development
- Good knowledge of Python.
- Experience with Azure Machine Learning is a plus.
- Creative problem solver and team player with strong communication skill.
**Translated Company Description

COMPANY DESCRIPTION

**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.

**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.
**Disclaimer