Security Architect and AI/ML Innovator

23 hours ago

Melbourne, Victoria, Australia beBeeSecurity Full time $160,000 - $180,000
Artificial Intelligence Security Specialist

This role is focused on long-term collaborations with clients across the globe, accelerating impact and making meaningful change.

You'll work closely with visionaries in multiple industries to advance hybrid cloud and AI journeys for innovative and valuable companies worldwide.

Strategic partnerships and robust technology platforms will enable your ability to drive results and make a lasting impression on our clients.

Cross-functional teams will collaborate to build trustworthy AI solutions that meet the highest standards of quality and security.

Key Responsibilities:
  • Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
  • Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
  • Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
  • Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
  • Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
  • Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
  • Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
  • Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
  • Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
  • Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
  • Monitor model performance and retrain models as needed to adapt to evolving threats.

Required Technical And Professional Expertise:

  • Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
  • Familiarity with Agile development methodologies.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Experience with AI and/or data governance.
  • Experience with building automation solutions with AI/ML.
  • Knowledge of AI ethics, fairness, and explainability.
  • Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
  • Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
  • Experience with data engineering and working with large-scale datasets.

Preferred Technical And Professional Experience:

  • Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
  • Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
  • Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
  • Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
  • Experience with vector DB's or open file formats like parquet, avro or orc.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
  • Excellent problem-solving and communication skills.

Melbourne AU

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