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AI/ML Engineer - Enterprise GenAI & MLOps

ai talent • Australia
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We are seeking a skilled AI/ML Engineer to design, build, and deploy production-grade AI models, LLM pipelines, and scalable ML infrastructure for an enterprise client. The role bridges data science, software engineering, and MLOps, translating complex business requirements into high-performing machine learning solutions. Candidates must have strong Python proficiency, hands-on experience with PyTorch/TensorFlow, and be located in Australia with valid work rights or eligible for 482 visa sponsorship.

Key Highlights
Production-grade AI/ML model development and fine-tuning
MLOps pipeline automation using MLflow/Kubeflow
GenAI and RAG architecture with vector databases
Client collaboration and strategic alignment
Key Responsibilities
Design, train, fine-tune, and evaluate machine learning models and large language models (LLMs) to solve complex enterprise problems
Build robust, reproducible MLOps pipelines using tools like MLflow, Kubeflow, or cloud-native MLOps services for continuous model training, deployment, and monitoring
Design and deploy Generative AI applications, Retrieval-Augmented Generation (RAG) pipelines, and vector database solutions (e.g., Pinecone, Qdrant, Chroma)
Develop scalable REST/gRPC APIs using Python (FastAPI, Flask) to serve model inference endpoints into modern microservice architectures
Implement real-time monitoring for model performance, data drift, and bias to ensure enterprise-grade reliability and governance
Partner closely with client product teams, data engineers, and domain experts to align ML architectures with strategic goals
Technical Skills Required
Python PyTorch TensorFlow MLOps
Benefits & Perks
Visa sponsorship available
Onshore applicants welcome
Nice to Have
Hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex)
Experience in highly regulated industries (Finance, Telecommunications, Healthcare)
AWS / Azure AI & ML Certifications

Job Description

We are partnering with an enterprise client to accelerate their artificial intelligence and machine learning capabilities. We are seeking a skilled AI / Machine Learning Engineer to represent our organisation and take technical ownership of designing, building, and deploying production-grade AI models, LLM pipelines, and scalable ML infrastructure.

In this role, you will bridge data science, software engineering, and MLOps within our client’s ecosystem. You will be instrumental in translating complex business requirements into high-performing Machine Learning models and generative AI workflows that deliver real-world impact.

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