AI/ML Engineer Consulting: Bluefin Resources Pty Limited

Bluefin Resources is partnering with a forward-thinking tech consultancy renowned for delivering innovative solutions in AI, machine learning, data engineering, and digital transformation. This consultancy prides itself on a team of curious, hands-on technologists dedicated to solving complex problems for prominent Australian enterprise brands. They value technical excellence, adaptability, and achieving tangible business outcomes.

About the Role
This is a client-facing consulting role for an AI/ML Engineer, ideal for professionals who thrive at the intersection of technical delivery and strategic impact. You will be instrumental in designing and deploying sophisticated AI and ML solutions, while also guiding clients on how to unlock significant business value through data. The role involves working with diverse clients and leveraging cutting-edge technologies.

Responsibilities
Collaborate with clients to define the scope, design, and implement AI/ML-driven solutions.

Build and deploy scalable machine learning models and end-to-end data pipelines.

Provide strategic guidance on AI/ML adoption and data maturity to clients.

Work across various cloud platforms such as AWS, Azure, or GCP to architect modern, scalable solutions.

Support the growth of internal capabilities and contribute to the broader AI/ML practice within the consultancy.

Stay up-to-date with emerging technologies and contribute innovative ideas.

Requirements
Solid experience in data science, ML engineering, or AI solution delivery.

Proficiency in Python, R, or other relevant programming languages.

Strong grasp of ML algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).

Hands-on cloud experience, with working knowledge of MLOps practices.

Exposure to agentic platforms or AI-driven automation is a bonus.

Excellent communication and consulting skills, comfortable engaging with both technical and non-technical stakeholders.

Degree-qualified in Computer Science, Data Science, Engineering, or a similar field.