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Full timeTechnology

Senior AI / ML Engineer

Data Intence Technology PtySydney, Sydney🇦🇺Australia

Why this role stands out

This hybrid role offers you the chance to design and deploy cutting-edge AI/ML solutions for enterprise clients, leveraging your expertise in LLMs and generative AI. You'll thrive here if you're a seasoned engineer passionate about building scalable AI systems and collaborating with stakeholders, with opportunities for continuous learning and professional growth.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, Sydney, Australia
DockerAWSMLOpsMLflowMachine LearningNLPScikit-learnAzureComputer VisionGPTGenerative AIPyTorchPythonTensorFlow

Job description

We are looking for a Senior AI/ML Engineer to design, build, and deploy production-grade machine learning and generative AI solutions for our enterprise clients across Australia. You will work closely with our consulting team to translate business problems into intelligent, scalable AI systems.

What You'll Do
  • Design and develop end-to-end ML pipelines - from data ingestion to model deployment and monitoring
  • Build and fine-tune large language models and generative AI solutions using GPT-4, LangChain, and Azure OpenAI
  • Collaborate with business stakeholders to define AI use cases and translate requirements into technical solutions
  • Deploy ML models to production using MLflow, Docker, and cloud platforms (AWS/Azure)
  • Mentor junior team members and contribute to internal AI capability building
  • Stay current with the latest AI/ML research and evaluate new tools and frameworks
What You'll Bring
  • 5+ years of experience in machine learning engineering or data science
  • Strong Python skills with hands-on experience in TensorFlow, PyTorch, or scikit-learn
  • Experience with LLMs, prompt engineering, and generative AI frameworks (LangChain, LlamaIndex)
  • Proficiency with cloud ML platforms - AWS SageMaker, Azure ML, or Google Vertex AI
  • Experience with MLOps practices - model versioning, monitoring, and CI/CD for ML
  • Strong understanding of NLP, computer vision, or time series forecasting
  • Excellent communication skills - ability to explain complex AI concepts to non-technical stakeholders
Nice to Have
  • Experience with vector databases (Pinecone, ChromaDB, Weaviate)
  • Knowledge of responsible AI practices and model explainability
  • Experience in a consulting or client-facing environment
  • AWS or Azure ML certifications
What We Offer
  • Flexible and remote working options
  • Learning & development budget for certifications and conferences
  • Work on cutting-edge AI projects across multiple industries
  • Competitive salary package
  • Small collaborative team with direct impact

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