Computer Vision Scientist
Computer Vision Scientist
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Job Description
About Lubrizol
The Lubrizol Corporation a Berkshire Hathaway company is a specialty chemical company whose science delivers sustainable solutions to advance mobility improve wellbeing and enhance modern life. Founded in 1928 Lubrizol owns and operates more than 100 manufacturing facilities sales and technical offices around the world and has about 8000 employees. For more information visit .
We value diversity in professional backgrounds and life experiences. By enabling a consistent unbiased and transparent recruitment process Lubrizol seeks to create a positive experience for candidates so we can get to know them at their best. We recognise unique work and life situations and offer flexibility ensuring our employees feel engaged and fulfilled in every aspect of life.
Job Title:Computer Vision Scientist
Job Location: Paseo de Grcia Barcelona
Job Type: Permanent
Type of role: Hybrid
What Youll Do:
As a Computer Vision Scientist you will be at the forefront of our innovations delivering ML/AI solutions to enable product development and deployment by providing computer vision image processing and data science support to the Lubrizol technical community.
This team (and this role) is instrumental in enabling data driven decision making across the enterprise with the use of the right data tools and processes. Data science support greatly benefits efficiency and decision making in prioritization and complexity reduction. Computer vision and image analysis needs continue to increase as we aim to gain insights from our data.
What Were Looking For:
- Develop solutions for image analysis using neural networks and automatic image processing
- Deploy algorithms and create predictive models by mining complex visual data
- Collaborate with business and technical teams on problem solving using data science and deep learning
- Collaborate and consult with data scientists and subject-area experts on machine learning visualization algorithms etc. along with system design and implementation
- Support data analytics systems including day-to-day operations and troubleshooting
- Conduct training on data analysis methodology and data analysis tools and applications
Skills That Make a Difference:
- Degree in computer vision data science statistics machine learning computer science or closely related field
- Understanding of machine learning methods
- Ability to efficiently process and analyze large complex data
- Experience writing complex code in Python; knowledge of JavaScript C relational databases and SQL are added pluses
- Strong deductive reasoning skills
- Creativity and curiosity with the ability to learn and apply new concepts quickly
- Ability to interact effectively with a variety of scientists and individuals including English language skills; Spanish skills a plus
Perks and Rewards That Inspire:
- Develop your professional career with a highly respected industry-leading multinational company that is part of Berkshire Hathaway Inc.
- Become part of a culture that is based on accountability and empowerment and which values diversity and inclusivity.
- A competitive remuneration and benefits package
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Ready for your next career step Apply today and lets shape the future together!
Its an exciting time to be part of Lubrizol. Lubrizol is not staying put. We are continually learning and evolving. Our passion delivers our success not only for Lubrizol but for those who count on us every day: our employees customers and communities.
We work with a relentless commitment to operate safely and responsibly keeping safety sustainability ethics and compliance at the forefront of everything we do. The well-being of our employees customers and communities is paramount to our culture and in the way we approach our work.
As a diverse global team we work together to solve some of the worlds most pressing challenges. We impact everyday lives through science only Lubrizol can deliver and we never stop pushing to do it better.
One of the founding principles of The Lubrizol Corporation more than 90 years ago was treating every employee with dignity and respect. That same commitment is only stronger today.
More than that we are committed to providing an environment where every employee can be the best they can be no matter their ethnic origin religion sex national origin sexual orientation gender identity disability or any other characteristic.
Employment Type
Full-Time
