Machine Learning Engineer

Job Description

The Opportunity

As a Machine Learning Engineer, you’ll help evaluate, benchmark and improve the performance of LLM and agent-based AI systems across our product suite. You’ll develop evaluation frameworks, measure model performance and provide insights that help deliver reliable, high-impact AI solutions for the mining industry.

The Impact you’ll have

• Design, develop and deploy machine learning models using PyTorch and related technologies.
• Design and implement evaluation frameworks for LLM and agentic AI systems.
• Develop benchmarks, metrics and test datasets to assess model quality and reliability.
• Analyse model performance and identify opportunities for improvement.
• Partner with product and engineering teams to define AI success measures.

What you need to succeed

• Proven experience developing machine learning or AI solutions.
• Experience in ML evaluation, benchmarking for LLM or agentic systems
• Strong experience with PyTorch or similar deep learning frameworks.
• Experience deploying machine learning models into production environments.
• Advanced Python skills and familiarity with ML libraries such as NumPy, Pandas and Scikit-learn.
• Solid understanding of neural networks, computer vision, natural language processing, or related AI disciplines.
• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science or a related field.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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