Senior Machine Learning Engineer

Company Overview

Our Shipamax Data Science team seeks a highly skilled and motivated Senior Machine Learning Engineer with 6+ years' of experience. This team sits within Wisetech’s Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of goods worldwide. You would join a team of experienced data scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere.

Job Overview

As a Senior Machine Learning Engineer, you will bring research into practice, developing new and improving existing machine learning models, expanding our existing product offerings.

You will work closely with our R&D and Product teams to successfully integrate cutting-edge models into our commercial software, delivering exceptional data extraction capabilities to our valued customers.

This role would give you the opportunity to work with state-of-the-art machine learning models, such as LLMs, using real-world datasets and leveraging abundant real-world unstructured data. You will also be involved in exciting projects like developing data extraction for new logistic document types.

Responsibilities

Collaborate with R&D and Product to bridge the gap between research and practical implementation, pushing the boundaries of what is achievable in 1-4 month projects.

Develop new production-ready machine learning models and improve existing ones.

Deliver impressive data extraction software that meets and exceeds customer expectations.

Responsible for the quality and ongoing evaluation of our data sets on existing and new ML models in pre-launch and in production.

Responsible for complex projects and coaching/supporting more junior team members.

Requirements

MSc in Computer Science, other STEM subjects
.

6+ years of working experience in data science in a commercial environment.

Strong programming skills in Python.

Experience with Computer Vision
.

Experience in building and evaluating production-ready machine learning models.

Experience with Natural Language Processing (NLP) techniques.

Experience working with real-world datasets formed by unstructured data.

Solid understanding of fundamental concepts of data science.

Experience working with Numpy and PyTorch.

Experience working with cloud environments is not essential, but it would be beneficial.

Experience with Large Language Models is highly desirable.