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For Companies At a Glance
- Tasks: Develop and improve machine learning models for data extraction in logistics.
- Company: Join WiseTech Global, a leading innovator in global supply chain technology.
- Benefits: Work with cutting-edge tech, collaborate with experts, and enjoy a friendly team culture.
- Why this job: Make a real-world impact by solving complex problems with AI and machine learning.
- Qualifications: MSc in Computer Science or STEM, 2+ years in data science, strong Python skills.
- Other info: Opportunity to work with state-of-the-art models and real-world datasets.
The predicted salary is between 36000 - 60000 £ per year.
Our Shipamax Data Science team seeks a highly skilled and motivated Machine Learning Engineer with 2+ 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 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.
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.
Requirements
MSc in Computer Science, other STEM subjects, or comparable work experience.
2+ years of working experience in data science in a commercial environment.
Good programming skills in Python.
Experience in building and evaluating machine learning models.
Experience with Natural Language Processing (NLP) techniques.
Experience working with real-world datasets.
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.
Ideal Characteristics
Excellent analytical skills and attention to detail.
Hard-working, responsible.
Loves learning and gets things done.
Good communication skills working within a team.
About WiseTech Global
Our innovations and global technology enables, improves and empowers the world’s supply chains. Having listed on the ASX in 2016, WiseTech Global is now an ASX 50, AU$10 billion+ company that is serious about expansion and technical innovation. Our mission is to change the world by creating breakthrough products that empower those that own, enable and operate the supply chains of the world.
Before you apply
From time to time, WiseTech Global may use external service providers to assist us with assessing applications, including background checks, on our behalf. Accordingly, by applying for this role and providing your personal information to WiseTech Global, you consent to WiseTech Global providing this information to our external service providers who are required to treat such information with strict confidentiality in line with privacy and data protection laws and regulations.
We are a global team of passionate people enabling and empowering the supply chains of the world.
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Machine Learning Engineer employer: Wisetech Global Limited
Contact Detail:
Wisetech Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with machine learning models, especially in a commercial environment. Highlight specific projects where you've successfully implemented or improved models, as this will resonate well with the team at Shipamax.
✨Tip Number 2
Familiarize yourself with the latest advancements in Natural Language Processing (NLP) techniques. Being able to discuss recent trends or breakthroughs in NLP during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to discuss your experience with real-world datasets. Be ready to share examples of how you've handled unstructured data and the challenges you faced, as this is crucial for the role.
✨Tip Number 4
Since collaboration is key in this role, think of examples that highlight your teamwork and communication skills. Be prepared to explain how you've worked with R&D and product teams in the past to bridge the gap between research and practical implementation.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Tailor your application to highlight your relevant experience in developing machine learning models and working with real-world datasets.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 2+ years of experience in data science, particularly focusing on your programming skills in Python and any experience with NLP techniques. Mention specific projects where you've successfully implemented machine learning models.
Showcase Your Skills: Detail your analytical skills and attention to detail in your application. Provide examples of how you've collaborated with teams in the past, especially in bridging research and practical implementation, as this is crucial for the role.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your passion for machine learning and your desire to contribute to WiseTech Global's mission. Make it personal and engaging to stand out from other candidates.
How to prepare for a job interview at Wisetech Global Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning models, and NLP techniques. Bring examples of projects you've worked on that demonstrate your ability to build and evaluate models, especially using Numpy and PyTorch.
✨Understand the Company’s Mission
Familiarize yourself with WiseTech Global's mission and how their technology impacts supply chains. This will help you align your answers with their goals and show your genuine interest in contributing to their innovative projects.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical skills and problem-solving abilities. Think of real-world scenarios where you successfully implemented machine learning solutions and be ready to explain your thought process.
✨Emphasize Team Collaboration
Since the role involves working closely with R&D and Product teams, highlight your teamwork experiences. Share examples of how you effectively communicated and collaborated with others to bridge the gap between research and practical implementation.
