04/13/2026 updated
100 % available
Senior AI and Machine Learning Engineer
Victoria, Australia
Only remote
Artificial Intelligence / Machine Learning, University of TorontoAbout me
Ich baue KI-Systeme, die im Alltag funktionieren – keine Demos, sondern Tools, die Ihr Team täglich nutzt. Scoring-Modelle, NLP-Pipelines, GPT-Integrationen und smarte ClickUp-Automatisierung. Sauberer Code, solide Doku und Support nach Übergabe inklusive.
Application Programming Interfaces (APIs)Artificial IntelligenceSoftware as a ServiceDjangoPython (Programming Language)Machine LearningNatural Language ProcessingTensorFlowNext.jsSystems IntegrationGoogle CloudFeature EngineeringPyTorchBackendScikit Learn
Machine Learning and AI Development
Advanced expertise in building production-grade LLM systems, AI automation, and implementing machine learning models using Python, PyTorch, TensorFlow, and scikit-learn
Full-Stack Software Engineering
Comprehensive development capabilities spanning frontend technologies like React, Next.js, TypeScript and backend systems using FastAPI, Django, Node.js, and various databases
Cloud Infrastructure and DevOps
Proficient in deploying and managing applications on AWS, Google Cloud, Azure with containerization using Docker, Kubernetes, and CI/CD pipelines
Natural Language Processing
Specialized knowledge in NLP, embeddings, vector search, and conversational AI systems including RAG implementations
Data Engineering and Analytics
Experience with data preprocessing, ETL pipelines, feature engineering using Pandas, NumPy, and various database technologies
API Development and Integration
Extensive experience with REST API development, GraphQL, and integrating third-party services including OpenAI, Anthropic Claude, and various SaaS platforms
Automation and Workflow Systems
Expertise in building automation solutions, workflow systems, and business process automation using tools like Zapier, Make, and custom solutions
Database Management
Proficient in working with PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, and cloud storage solutions
Advanced expertise in building production-grade LLM systems, AI automation, and implementing machine learning models using Python, PyTorch, TensorFlow, and scikit-learn
Full-Stack Software Engineering
Comprehensive development capabilities spanning frontend technologies like React, Next.js, TypeScript and backend systems using FastAPI, Django, Node.js, and various databases
Cloud Infrastructure and DevOps
Proficient in deploying and managing applications on AWS, Google Cloud, Azure with containerization using Docker, Kubernetes, and CI/CD pipelines
Natural Language Processing
Specialized knowledge in NLP, embeddings, vector search, and conversational AI systems including RAG implementations
Data Engineering and Analytics
Experience with data preprocessing, ETL pipelines, feature engineering using Pandas, NumPy, and various database technologies
API Development and Integration
Extensive experience with REST API development, GraphQL, and integrating third-party services including OpenAI, Anthropic Claude, and various SaaS platforms
Automation and Workflow Systems
Expertise in building automation solutions, workflow systems, and business process automation using tools like Zapier, Make, and custom solutions
Database Management
Proficient in working with PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, and cloud storage solutions
Languages
EnglishNative speaker
Project history
Dived into AI-agent and conversational automation scenarios for enterprise customer experiences. Key focuses included LLM integrations, retrieval workflows, agent behaviour design, tool integrations, and solid systems backing automated customer chats across channels.
Built automation and product features around subscription commerce workflows, covering data-driven tools, API-linked services, merchant ops support, and AI-boosted functions for retention, lifecycle, and recurring revenue scenarios.
Pitched in on AI-driven search, recommendation, and relevance setups for SaaS, e-commerce, and customer-service apps. Handled data pipelines, search quality, ranking smarts, model integrations, and AI features aimed at boosting customer experiences and business results.