Skip to main content
AI Jobs Australia LogoAI Jobs Australia

Senior Data Scientist

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Kasada
Australia
remote
Full Time

Apply for this job

Posted 10 months ago
This role is expired

These roles are hiring now

View all AI roles →

Research Engineer - Post-Training

Pluralis Research
Australia
remote
  • Build end-to-end RL post-training stack for decentralized LLMs
  • Experience with RL post-training on large language models
  • Python, PyTorch, RLHF, asynchronous RL, distributed systems
Posted 9h ago

AI Agent Developer

Jobgether
Australia
remote
  • Design and deploy AI agents using Microsoft Copilot Studio and generative AI
  • Experience with generative AI, LLMs, RAG, and conversational AI required
  • Python, JavaScript/TypeScript, Azure OpenAI, Microsoft 365, Power Automate
Posted 9h ago

Data Scientist Open Search

IBM
Australia
hybrid
  • Optimize search performance, analyze semantic search quality, query optimization
  • Senior professional level experience required
  • Vector search, OpenSearch, NLP, ML, shard tuning, query optimization
Posted 2d ago

Applied Scientist - Computer Vision, International Machine Learning

Amazon
Melbourne, VIC
  • Develop computer vision models for fresh produce monitoring at scale
  • PhD required, 5+ years ML experience preferred
  • Deep learning, CVPR/ICCV/ECCV/NeurIPS publications, Python/Java/C++
Posted 4h ago
Job Description

What You Will Be Doing
  • Develop, train, and deploy ML models to detect automation and fraud across large-scale, high-velocity traffic.
  • Explore massive datasets to identify anomalies, uncover new adversarial behaviours, and anticipate attack vectors.
  • Build and maintain scalable pipelines and frameworks that can handle real-time detection in adversarial environments.
  • Collaborate closely with engineers, researchers, and product managers to operationalise models and integrate them into Kasada’s platform.
  • Design experiments to rigorously evaluate detection effectiveness and resilience against attacker adaptation.
  • Stay on the cutting edge of adversarial ML and cybersecurity, translating research into practical defence capabilities.
  • Communicate insights and outcomes clearly, ensuring technical and business stakeholders can act on findings.
What You’ll Bring
  • Strong expertise in machine learning, statistics, and anomaly detection methods.
  • Proficiency with Python and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
  • Hands-on experience with big data platforms (such as Flink and Spark).
  • Proven ability to work with AWS services for large-scale data processing and ML deployment.
  • Comfort with messy, high-volume datasets and designing scalable, production-ready solutions.
  • Excellent problem-solving and analytical skills, with sharp attention to detail.
  • Background in cybersecurity, fraud detection, or adversarial ML (preferred).
  • Familiarity with real-time frameworks (Kafka, Kinesis) and advanced detection methods (clustering, graph analysis).
  • Strong communication and collaboration skills — able to influence, teach, and align diverse stakeholders.
  • Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field is a plus.