• $900 plus GST ( must have ABN)
• Big 4 bank project
• Immediate start

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Responsibilities:

• Design, develop, and deploy AI/ML models using Python and open-source libraries.
• Implement semantic kernel architectures and integrate them with LLMs for advanced natural language understanding.
• Work with graph-based models and data structures to enhance knowledge retrieval, reasoning, and recommendation systems.
• Collaborate with cross-functional teams to understand complex problems and translate them into technical solutions.
• Optimize and fine-tune LLMs and related models for performance, accuracy, and scalability.
• Contribute to open-source projects and stay abreast of the latest developments in AI and open-source tools.
• Write clean, maintainable, and well-documented code.

Qualifications:

• Proven experience in Python programming, with a strong understanding of AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Hands-on experience with large language models (e.g., GPT, BERT) and semantic kernel technologies.
• Knowledge of graph databases and graph algorithms (e.g., Neo4j, NetworkX).
• Strong problem-solving abilities with analytical and creative thinking skills.
• Familiarity with open-source AI tools, libraries, and deployment pipelines.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• Excellent communication and teamwork skills.

Preferred Skills:

• Experience with OpenAI APIs or similar AI service providers.
• Contributions to open-source projects.
• Knowledge of cloud platforms (AWS, GCP, Azure)