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Machine Learning Engineer
Design and deploy production-ready ML models and pipelines using Python, TensorFlow, and PyTorch for enterprise clients.
Data/ai architect (databricks)
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
AI/ML Engineers
Design and deploy AI/ML models for fintech domains like payments and liquidity management using Python, cloud platforms, and MLOps tools.
Ai engineer (generative ai, langchain) - johannesburg - up to 1.3mil ctc
AI Engineer builds, trains, and deploys generative AI and LLM-powered apps using Python, TensorFlow, and cloud platforms; maintains models and APIs in production.
Data scientist
Design and implement AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Ai engineer
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Ai & ml data scientist: llms, analytics & bi
Design and deploy AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Build and maintain open-source data, AI/ML, and analytics platforms using Python, Kubernetes, and tools like Kubeflow and MLFlow, deployed across clouds and on-prem.
Engineer, Machine Learning Systems (AI Products)
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Data Scientist (AI)
Build and deploy generative AI systems (LLMs, RAG, agents) to improve customer experience, operations, and productivity at Virgin Australia, from prototype to production.
*AI Engineer*
Build and secure CI/CD pipelines for AI/ML systems, integrating DevSecOps practices into model development and deployment workflows using cloud and container tools.
Architect, Data and AI Engineering
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Senior AI Engineer — Agentic AI (Azure AI Foundry / Databricks)
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
Senior Machine Learning Engineer
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Senior Data Engineer - Databricks Data & AI · ·
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Staff Machine Learning Engineer
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Machine Learning Engineer
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
Senior Machine Learning Engineer
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Machine Learning Engineer - AI Team
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.