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EML Group

Machine Learning Engineer

Posted 5 Days Ago
Be an Early Applicant
In-Office
Sydney, New South Wales
Mid level
In-Office
Sydney, New South Wales
Mid level
Develop and optimize machine learning models for computer vision, audio processing, and NLP tasks. Collaborate on data pipelines and ensure model reliability.
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EML is a leading Workers Compensation and Personal Injury Claims Management business. Our goal is to help people get their lives back through ongoing support during their return-to-work journey. We continue to experience ongoing growth and now have over 4,000 dedicated employees. We foster a learning culture that allows for us to continually invest in our employees ensuring a long-term career here at EML.

THE OPPORTUNITY

The Machine Learning Engineer role will develop, design and optimize state-of-the-art CV, Audio, NLP and multiple-modal models.

  • Design, develop, and evaluate machine learning models for computer vision tasks (e.g., image classification, object detection, semantic segmentation), audio processing tasks (e.g., speech recognition, sound classification), and NLP tasks (e.g., text classification, sentiment analysis, named entity recognition).

  • Research and implement cutting-edge algorithms and techniques from the latest publications in the field.

  • Optimize model performance and efficiency for deployment in production environments.

  • Collaborate with data engineers and MLOps engineers to build and maintain robust data pipelines for model training and evaluation.

  • Conduct thorough testing and validation of models to ensure accuracy and reliability.

  • Work with AI Cloud Engineer and contribute to the development of our machine learning infrastructure and best practices.

  • Stay up-to-date with the latest advancements in machine learning and related fields.

  • Bachelor’s/Master’s/PhD in Computer Science, or related field.

  • 3+ years in ML engineering, software development, or data science roles with 1+ years focused on LLMs/generative AI.

  • Solid understanding of Audio/CV/NLP concepts, techniques, and tasks.

  • Familiar with finetune and model compression techniques such as SFT, pruning, quantization (GGUF, AWQ), or distillation of LLMs.

  • Expert proficiency in programming languages and platforms is a must, such as Python, PyTorch/TensorFlow, Hugging Face ecosystem.

  • Experience with AWS cloud platforms.

WHAT WE OFFER


We stand together as equals. EML is an equal opportunity employer so by coming to work for us, you will be part of a culture that celebrates diversity and inclusion. We are committed to maintaining a workplace where everyone feels valued and where we show respect, integrity and honesty.


EML provides career opportunities and great employee benefits, including:
•    A vibrant, collaborative innovative team culture
•    Flexibility with opportunity to WFH when you are fully trained in your role.
•    A corporate wellbeing program with discounted health insurance and gym membership
•    Access to discounts at over 350 retailers through our Rewards Hub program
•    Entitlement to an annual tenure and performance-based recognition reward
•    Comprehensive learning and development support
•    Companywide events to celebrate success.
•    Quarterly Reward and Recognition Awards
•    Up to 16 weeks paid parental leave, plus super


We value our people and are committed to supporting our employees by investing in their professional development and providing generous employee benefits. If this position is of interest to you, please apply now.
 

Top Skills

AWS
Hugging Face
Python
PyTorch
TensorFlow

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