petronas
This role involves assisting in the development and optimization of custom AI and machine learning models for predictive maintenance algorithms. The position requires processing and analyzing multi-source engineering data to detect anomalies and deploying integrated Power BI dashboards with automated data pipelines. It is designed for students pursuing degrees in Information Technology, Computer Science, or related fields.
Headquarters
Kuala Lumpur, Kuala Lumpur, Malaysia
Company Size
10001+ employees
Founded
1974
PETronas (Petroliam Nasional Berhad) is Malaysia’s fully integrated national oil and gas company, operating across the energy value chain — upstream exploration & production, gas and LNG, refining, petrochemicals, product distribution and trading, plus engineering and technology solutions. Headquartered in Kuala Lumpur with a global footprint, PETRONAS delivers energy and industrial solutions while pursuing lower‑carbon initiatives and investments in innovation. The group supports community development and partnerships (including motorsports sponsorships and its foundation) and positions itself as a progressive energy partner committed to responsible production and sustainable growth.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for petronas.
petronas didn’t post a salary, so this is our estimate from similar listings.
AI and Machine Learning Intern
Presbyterian Villages of Michigan
Machine Learning Systems Engineer, Networking
NVIDIA
Summer 2027 Artificial Intelligence/Machine Learning Associate Part Time On-Call Internship
General Dynamics Information Technology
Internship: Finance Data Science & Margin Analytics
C0000031152P
Internship: Finance Data Science & Margin Analytics
C0000031152P
Data Scientist / Data Analyst
Graphcore