AI Engineer @ Qargo in Zuiderpoort – Gent, Belgium


Qargo Introduction
Qargo is a dynamic tech start-up with offices in London and Ghent (Belgium), dedicated to revolutionizing the transportation industry through enhanced efficiency, profitability, and sustainability. Our commitment lies in developing the most intuitive and user-friendly Transport Management System (TMS) on the market, streamlining administrative processes and optimizing planning for our clients. As we pursue our mission and continue our expansion, we are seeking a talented Machine Learning Engineer with a specialization in document processing to join our innovative team.
In this role, you’ll…
✅ Develop and implement cutting-edge machine learning algorithms and models for document processing, aimed at enhancing the automation of administrative workflows within our TMS.
✅ Collaborate closely with cross-functional teams to gather requirements, understand domain-specific challenges.
✅ Apply Natural Language Processing (NLP) techniques to extract, classify, and organize data from unstructured documents, thereby contributing to the efficiency and accuracy of our platform.
✅ Work on data preprocessing, cleaning, and feature engineering to ensure the highest quality of input for training and deploying machine learning models.
✅ Continuously research and stay up-to-date with the latest advancements in the field of machine learning and document processing, and integrate these findings into our technology stack.
✅ Contribute to the overall architecture and design discussions, leveraging your expertise in machine learning to drive innovation and improvements.
Your Profile
✅ A degree in Computer Science engineering, or relevant industry experience.
✅ A strong background in machine learning and artificial intelligence, with a focus on document processing, NLP, and related areas.
✅ Proficiency in programming languages commonly used in machine learning such as Python, along with experience working with relevant libraries and technologies (e.g., PyTorch, Hugging Face, scikit-learn, Pandas).
✅ Proven experience in developing and deploying machine learning models in real-world applications, especially related to document processing, text classification, entity recognition, and information extraction.
✅ Familiarity with data preprocessing techniques and feature engineering, ensuring that models are trained on high-quality and relevant data.
✅ Strong problem-solving skills, adaptability, and the ability to work independently and collaboratively within a fast-paced start-up environment.
✅ Effective communication skills to convey complex technical concepts to non-technical stakeholders and foster collaboration across teams.
✅ A passion for staying updated with the latest advancements in machine learning, and an eagerness to apply these innovations to real-world challenges in the transportation industry.
We Offer
✅ An exciting opportunity to work with challenging and varied technologies.
✅ A flexible work environment that accommodates your needs.
✅ A green office with a great atmosphere.
✅ A role with a lot of responsibility, ownership, and impact.
✅ The chance to grow with us and achieve your career aspirations.
About us

Want to be trusted to take ownership of your work, with freedom to experiment? Excited about solving big problems and changing an industry? Keen to see your work have an impact – fast?

At Qargo, we’re technologists and industry experts who’ve come together to help the trillion-dollar logistics sector become more sustainable and profitable.

An astounding 4 out of every 10 trucking miles are empty, costing the industry $100 billion a year – and producing more carbon emissions than every international flight combined. Transport firms currently waste time with inefficient processes and paperwork, missing opportunities for better communication and collaboration.

We built Qargo because the industry deserves better. Our solution eliminates tedious manual processes, helps carriers use their resources more effectively, and embeds digital collaboration in their day-to-day workflows.

With Qargo, the industry can optimise loads, lower costs and cut emissions.

If you’d like to build a better way forward, and be a driving force in an inspired team – come and join us at Qargo.