Generative AI Engineer
Melbourne • Full-time (Remote)
About the job
Hiring for Generative AI Engineer- LLM & Machine Intelligence
About Us: Renaissance Info Systems is a technology and digital recruitment agency, connecting contract and permanent professionals with clients across Asia-Pacific.
We aim to differentiate ourselves through our level of responsiveness, and our understanding that comes from being an IT recruitment agency from the IT Industry. Our recruiters balance sophisticated and simple inter-personal techniques to assure a strong candidate network.
Know More: http://www.reninfo.com.au
Role/Title: Generative AI Engineer- LLM & Machine Intelligence- 8-12 Years
Mode of Hiring: Contract
Location: Australia
Job Description:
About the Role:
We are seeking a highly skilled and innovative Generative AI Engineer to join our team and drive the development of cutting-edge solutions using Large Language Models (LLMs) and Machine Intelligence (MI). You will work on designing, fine-tuning, and deploying generative models that power intelligent applications across various domains.
Key Responsibilities:
- Design, develop, and optimize generative AI models using LLMs (e.g., GPT, LLaMA, Claude).
- Apply machine intelligence techniques to enhance model performance and contextual understanding.
- Fine-tune pre-trained models on domain-specific datasets.
- Collaborate with data scientists, ML engineers, and product teams to integrate models into production systems.
- Evaluate model outputs for relevance, accuracy, and ethical considerations.
- Stay updated with the latest research and advancements in generative AI and LLMs.
Required Skills & Qualifications:
- Strong experience with LLMs and generative AI frameworks (e.g., Hugging Face Transformers, LangChain).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch).
- Understanding of NLP, deep learning architectures, and model evaluation techniques.
- Experience with prompt engineering, model fine-tuning, and deployment.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
Note: No Visa Sponsorship
Interested candidate please share your resume ASAP.
