01/29/2026 updated
100 % available
Senior Machine Learning Engineer
Sydney, Australia
Only remote
Bachelor of Engineering in Computer ScienceAbout me
A proactive, well-organized, hard-working and highly-qualified AI/ML engineer eager to revolutionize everything with AI. Impressive variety of proficiency in many modern technologies and strong mindset of continuous learning.
Artificial IntelligenceAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisArtificial Neural NetworksComputer VisionAmerican Sign LanguageCloud ComputingDatabasesConsultingContent AnalysisDevOpsText EditingHealth Care
Machine Learning and AI Development
Comprehensive AI-driven system development including medical document analysis, healthcare advisory systems, and predictive analytics using advanced frameworks like TensorFlow, PyTorch, and Transformers
Computer Vision and Image Processing
Advanced computer vision solutions including medical imagery analysis, object detection, road asset recognition, and real-time video analysis using OpenCV, YOLO, ResNet, and specialized deep learning models
Natural Language Processing
Sophisticated NLP implementations including chatbot platforms, document analysis systems, American Sign Language recognition, and text processing using BERT, LLM, RAG, and transformer architectures
Python Programming
Expert-level Python development for machine learning, data analysis, and backend systems
Deep Learning Frameworks
Proficient in PyTorch, TensorFlow, Keras, and Scikit-learn for building neural networks and ML models
Cloud Computing
Experience with AWS services including EC2, S3, SageMaker, Lambda, and Google Cloud Platform for scalable AI solutions
Frontend Development
React.js, Next.js, and React Native development for building user interfaces and mobile applications
Database Management
SQL and NoSQL database systems including PostgreSQL, MongoDB, and Firebase for data storage and retrieval
DevOps and Deployment
Docker containerization, CI/CD pipelines, and version control using Git for efficient development workflows
Comprehensive AI-driven system development including medical document analysis, healthcare advisory systems, and predictive analytics using advanced frameworks like TensorFlow, PyTorch, and Transformers
Computer Vision and Image Processing
Advanced computer vision solutions including medical imagery analysis, object detection, road asset recognition, and real-time video analysis using OpenCV, YOLO, ResNet, and specialized deep learning models
Natural Language Processing
Sophisticated NLP implementations including chatbot platforms, document analysis systems, American Sign Language recognition, and text processing using BERT, LLM, RAG, and transformer architectures
Python Programming
Expert-level Python development for machine learning, data analysis, and backend systems
Deep Learning Frameworks
Proficient in PyTorch, TensorFlow, Keras, and Scikit-learn for building neural networks and ML models
Cloud Computing
Experience with AWS services including EC2, S3, SageMaker, Lambda, and Google Cloud Platform for scalable AI solutions
Frontend Development
React.js, Next.js, and React Native development for building user interfaces and mobile applications
Database Management
SQL and NoSQL database systems including PostgreSQL, MongoDB, and Firebase for data storage and retrieval
DevOps and Deployment
Docker containerization, CI/CD pipelines, and version control using Git for efficient development workflows
Languages
EnglishFluent
Project history
Built comprehensive AI-driven medical document analysis system, AI Healthcare Advisor System, engineered custom Transformer model, developed predictive analytics system, created chatbot platform, built recommendation system, developed AI code generator, and designed AI-powered financial analytics platform
Developed real time American Sign Language recognition system, built AI food calorie calculator app, developed AI-powered road assets and defect recognition system, implemented field boundary detection for crop assessment, designed crop classification system, and implemented area and distance measurement from satellite imagery
Developed core components of cybersecurity monitoring platform focusing on anomaly detection algorithms, developed data training pipeline for custom Transformers, built food calorie calculator app, and designed RESTful APIs for security information and event management systems