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:

Digital Bank, Product

Technical Skills:

Machine Learning, Security

Location:

Ho Chi Minh - Viet Nam

Salary:

Negotiation

Job ID:

J01724

Status:

Close

Related Job:

Senior Machine Learning Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Information Technology & Services

  • Machine Learning

Creating the V1 Evaluation Platform: You will be responsible for designing and building the core backend systems for our new LLM Evaluation Platform, using Arize Phoenix as the basis for traces, evaluations, and experiments. Implementing Production Observability: You will need to architect and implement the observability backbone for our AI services by integrating Phoenix with OpenTelemetry to establish a centralized system for logging, tracing, and evaluating LLM behavior in production. Standardizing LLM Deployment Pipeline: You will be in charge of designing and implementing the CI/CD framework for versioning, testing, and deploying prompt-based logic and LLM configurations, ensuring reproducible and auditable deployments across all AI features. Providing Practical Solutions: Your role will involve making pragmatic technical decisions that prioritize business value and speed of delivery, in line with our early-stage startup environment. Collaborating with Other Teams: You will work closely with the Data Science team to understand their workflow and ensure that the platform you build meets their core needs for experiment tracking and validation. Establishing Core Patterns: You will also help in establishing and documenting the initial technical patterns for MLOps and model evaluation that will serve as the foundation for future development.

Negotiation

View details

Python Developer (DevOps - focused)

Ho Chi Minh - Viet Nam


Outsourcing

  • Python
  • Devops

We seek a skilled Python Developer to join our operations team. This role involves providing initial support to researchers and internal users, addressing issues through our JIRA service desk. The candidate will also focus on driving operational efficiency through automation and smart tooling. The role requires managing and resolving issues, with more complex problems being escalated to the Devops team. The support engineer will maintain ownership even after escalation. The position also involves devising solutions to enhance issue resolution efficiency. Examples include automating common tasks using bots and writing scripts to categorize and manage JIRA service desk tickets programmatically.

Negotiation

View details

AI Research Scientist

Others - Singapore


Product

  • Data Science

Maintain a modular, high-quality PyTorch training codebase Plan and establish training workflows for scaling, checkpointing, logging, and reproducibility Introduce new concepts, troubleshoot training runs, and expedite iteration Create and manage efficient data loading pipelines and training utilities Ensure training jobs have the ability to scale across multiple GPUs and nodes (e.g., with DDP, NCCL) Fine-tune model training for performance, stability, and hardware utilization Uphold long-term code health: organize modules, enforce standards, write clean and testable code Contribute to experiment tracking, reproducibility, and versioning infrastructure

Negotiation

View details