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Data Scientist – AI/ML for Threat Analysis and Risk Assessment

SpringCube

Full time - Senior Associate/ Asst Manager

Automotive

Singapore ( Onsite )

Published 1 week ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position above to find your next career move.

Data Scientist – AI/ML for Threat Analysis and Risk Assessment

Company Overview
This organization is dedicated to creating sustainable, innovative, and safe mobility solutions. With a people-first approach, the company is a global leader in developing advanced technologies in safety, autonomous driving, and electrification. Its collaborative and inclusive work culture empowers individuals to reach their full potential while contributing to groundbreaking advancements in the automotive industry.

Job Description
This role focuses on leveraging AI, ML, and DL technologies to conduct threat analysis, risk assessment, and the development of cutting-edge automotive-related products.

Key Responsibilities

  • Conduct R&D on automotive products using AI/ML/DL technologies to support new and existing products.
  • Develop and implement models to identify and mitigate potential threats and risks in automotive systems, including connectivity, threat scenarios, and impact assessments.
  • Execute Proof-of-Concept projects to assess the viability of ideas and technologies in AI/ML/DL.
  • Improve ML algorithm performance, particularly under data insufficiency.
  • Collaborate with cross-functional teams (software engineers, hardware engineers, and product managers) to design and deploy innovative solutions.
  • Foster continuous improvement by staying updated on emerging AI technologies.
  • Apply advancements in AI/ML/DL to ongoing projects.

Requirements

  • Master’s degree or higher in AI, Machine Learning, or Computer Science.
  • At least 3 years of practical industry experience in AI.
  • Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong expertise in AI/ML model development, integration, and deployment, with experience in cybersecurity frameworks.
  • Proven experience in developing and implementing threat analysis and risk assessment models.
  • Minimum of 3 years of experience working with global and cross-functional teams.
  • Self-driven and results-oriented, with excellent communication skills for diverse audiences.

Preferred Qualifications

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

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.