AI-Focused Cyber Specialist

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Integrate artificial intelligence (AI) solutions into existing cybersecurity frameworks and tools.
Utilize AI to automate penetration testing and identify exploitable flaws in application codebases
Work with DevSecOps teams to incorporate AI-powered threat detection into CI/CD pipelines
Create and implement AI/ML models for detecting, preventing, and responding to cyber threats (such as intrusion detection, anomaly detection, and malware analysis).
Analyze large datasets (e.g., network traffic, logs) to detect patterns and vulnerabilities.
Collaborate with security teams to develop proactive defenses using AI-driven insights.
Stay informed about emerging cyber threats and AI advancements to improve security strategies.
Ensure AI models are secure, ethical, and resistant to adversarial attacks.

JOB REQUIREMENT

Candidates should have a minimum of 3 years of experience in AI/ML development and/or cybersecurity roles.
Must demonstrate the ability to apply AI techniques to security problems.
A degree in Computer Science, Cybersecurity, AI, or related field is required.
Additional certifications such as OSCP or GPEN, GWAPT, and AI-related certifications are advantageous.
Experience within specific industries with strict security requirements, like banking or finance, is a plus.
AI/ML Expertise:
Proficient in programming languages such as Python or Java.
Experienced with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
Familiarity with deep learning, natural language processing (NLP), and reinforcement learning.
Capable of designing, training, and optimizing AI models for real-time applications.
Proactive in identifying vulnerabilities and risks in AI models.
Understanding of adversarial AI and how to defend against attacks such as evasion attacks and data poisoning.
Cybersecurity Knowledge:
Ability to anticipate and counter threats by thinking like an attacker.
Basic knowledge of networking protocols like TCP/IP, HTTP, and DNS.
Strong understanding of cybersecurity fundamentals such as encryption, firewalls, IDS/IPS, penetration testing, and common attack vectors and mitigation techniques.
Experience in working with security tools like Burpsuite/ZAP, Metasploit, or similar.
Knowledge of secure software development practices and threat modeling.
Familiarity with securing AI workloads in the cloud on platforms like AWS, Azure, and GCP.
Capable of analyzing and preprocessing security-related datasets like logs and packet captures.
Soft Skills:
Strong problem-solving and analytical skills.
Ability to communicate complex technical concepts to non-technical stakeholders.
Team player with a collaborative mindset.

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Machine Learning, Security

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01724

Status:

Close

Related Job:

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam

Product

  • Devops
  • C/C++
  • Python
  • Golang

Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Negotiation

View details

Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam

Product

  • C/C++
  • Python
  • AI

Developing advanced Metropolis Vision AI pipelines using computer vision and deep learning models for real-time and streaming applications. Building distributed services to process video, image, and 3D data in both edge and cloud environments. Enhancing multi-modal perception capabilities to understand complex real-world scenes by combining 2D, 3D, and temporal information. Utilizing simulation and synthetic data tools for building, testing, and validating perception algorithms at scale. Optimizing GPU-accelerated inference pipelines to meet specific latency, efficiency, and reliability requirements. Working with partner teams on technical implementations. Contributing to technical reviews and guidelines for code quality and testing.

Negotiation

View details

Senior Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam

Product

  • C/C++
  • Python
  • AI

Optimizing Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. Developing distributed services for processing video, image, and 3D data in both edge and cloud settings. Enhancing multi-modal perception capabilities to understand complex real-world scenes. Testing and validating perception algorithms at scale using simulation and synthetic data tools. Tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams across various areas to translate requirements into technical builds and implementations. Contributing to guidelines for code quality and testing through participation in technical reviews.

Negotiation

View details