Data Scientist - AI/ML for Threat Analysis and Risk Assessment at Volvo Cars AB
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Automotive Products, Working Environment, It, Mobility, Electric Cars

Industry

Information Technology/IT

Description

PREFERRED QUALIFICATIONS

  • Previous experience in integrating AI technologies into automotive products.
  • Experience with large language models (e.g., GPT, BERT) and their applications.
  • Experience with cybersecurity frameworks and protocols.

VOLVO CARS – DRIVING CHANGE TOGETHERVOLVO CARS’ SUCCESS IS THE RESULT OF A COLLABORATIVE, DIVERSE AND INCLUSIVE WORKING ENVIRONMENT. TODAY, WE’RE ONE OF THE MOST WELL-KNOWN AND RESPECTED CAR BRANDS, WITH AROUND 43,000 EMPLOYEES ACROSS THE GLOBE. AT VOLVO CARS, YOUR CAREER IS DESIGNED AROUND YOUR SKILLS AND ASPIRATIONS, SO YOU CAN REACH YOUR FULLEST POTENTIAL.

And it’s so exciting – we’re well on our way on our journey towards full electrification. We have five fully electric cars already on the market, and five more on the way. Our fully-electric and plug-in hybrid cars combined make up almost 50 per cent of our sales. So come and join us in shaping the future of mobility. There’s never been a more rewarding time to play your part in our inspiring and creative teams

Responsibilities
  • Conduct research and development on automotive related products, using AI / ML / DL based technologies to successfully launch new and support existing products.
  • Develop and implement models for identifying and mitigating potential threats and risks in automotive systems, including assets connectivity construction, threat scenarios with attack path/feasibility evaluation, and damage scenarios with impact assessment.
  • Contribute to research from concepts to feasible output through Proof-of-Concept projects to determine the viability of ideas and technologies leveraging AI/ML/DL.
  • Develop various methodologies to improve performance of ML algorithm under the circumstance of data insufficiency.
  • Collaborate with cross-functional teams, including software engineers, hardware engineers, and product managers, to design and deploy innovative solutions.
  • Foster a culture of continuous improvement and innovation, staying updated on current and emerging AI technologies and their impact on the business.
  • Stay updated with the latest advancements in AI / ML / DL and apply them to ongoing projects.
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