-
View all jobs
Generative AI Engineer
Technical Skills: Python, Gen AI
Experience : 5 - 10 Years
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3+ years of experience in AI/ML development, with at least 1+ year of hands-on experience in generative AI.
- Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face.
- Exposure working with transformer-based architectures like GPT, BERT, and diffusion models.
- Solid understanding of deep learning, NLP, and computer vision techniques.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Familiarity with model deployment, APIs, and MLOps tools for CI/CD automation.
- Strong problem-solving skills and ability to work in an agile, collaborative environment.
Key Skills
Ranked by relevance
artificial intelligence
containerization
machine learning
computer vision
deep learning
tensorflow
pytorch
python
docker
cloud
mlops
cicd
aws
gcp
ai
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
.Net Fullstack developer
2026-03-03
Full-time
Mid-Senior
Australia
Technology
Information Technology
View Job Details
Related
Node JS Engineer
2026-03-27
Full-time
Mid-Senior
Australia
Technology
Information Technology
View Job Details
Related
DevSecOps Engineer
2026-03-24
Full-time
Mid-Senior
Australia
Technology
Information Technology
Login to Apply
- Posted
- Jan 07, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Sydney
- Company
- PeopleLogic
Industries
Technology
Information
Media
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
.Net Fullstack developer
2026-03-03
Full-time
Mid-Senior
Australia
Technology
Information Technology
View Job Details
Related
Node JS Engineer
2026-03-27
Full-time
Mid-Senior
Australia
Technology
Information Technology
View Job Details
Related
DevSecOps Engineer
2026-03-24
Full-time
Mid-Senior
Australia
Technology
Information Technology