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Machine Learning Engineer

Duco

Duco

Software Engineering
Antwerp, Belgium
Posted on Tuesday, July 9, 2024

About Us

Thanks to the recent acquisition Duco and Metamaze are making waves as one family!

Businesses in the digital economy succeed or fail based on their ability to deal with masses of data and complexity quickly and efficiently, and many of the world’s leading companies trust Duco and Metamaze with the management of their complex, mission-critical data. Together we bring data quality, reconciliation, data prep, and management in one agile, cloud-based platform.

Headquartered in London, with offices in New York, Boston, Wroclaw, Singapore, and Antwerp we serve clients across the globe. Our customers include over 15 of the largest global international banks as well as brokers, exchanges, asset managers, hedge funds, administrators, service providers, and corporates.

About The Role
We are seeking a talented Machine Learning Engineer to join our dynamic team. As a member of the engineering department, you will play a crucial role in developing, deploying, and enhancing our Data Automation Platform. You will have the opportunity to work on cutting-edge ML techniques and leverage recent advancements in the field to solve complex document-processing as well as data-automation challenges.

What you will be working on

  • Collaborating across teams to gather requirements for the development process.
  • Optimising and fine-tuning existing models to improve accuracy, performance, and scalability as well as implementing ML algorithms and models for Intelligent Document Processing and Data Automation.
  • Integrating ML models into production systems, ensuring scalability and reliability.
  • Working on data validation, data preprocessing, and model evaluation to ensure high-quality output.
  • Documenting technical specifications, experiments, and findings to support knowledge sharing within the team. Report on findings in blog posts or publications.
  • Staying informed about the latest advancements in ML. Identify the right tooling and frameworks to integrate them into our platform.

Ideally, you will have

  • Higher education degree in Computer Science, Engineering, or a related field.
  • Background in Machine Learning (2+ years of professional experience) including expertise in Natural Language Processing techniques. Understanding and practical experience with state-of-the-art architectures, such as transformers and attention mechanisms.
  • Proficiency in Python.
  • Experience with relevant libraries and frameworks (e.g., PyTorch, TensorFlow, Transformers, scikit-learn).
  • Experience with NoSQL and SQL databases.
  • Experience with cloud platforms (AWS is a plus) and familiarity with MLOps (Docker, Kubeflow).
  • Publications or contributions to the NLP/Machine Learning community (e.g., research papers, open-source projects).
  • Strong problem-solving skills.
  • Communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
  • Strong attention to detail and a passion for delivering high-quality results.

Our benefits

  • Employment Contract with a competitive salary
  • Group life insurance
  • Hospitalisation Insurane
  • Company phone and subscription
  • Company car or tax-free mobility budget if it applies
  • Lunch allowance (meal tickets)
  • Success Srabe bonus
  • Unlimited annual holiday, because we trust our people to manage their own time off
  • Flexibility around working hours, as long as you’re delivering what’s needed
  • Flexible working policy, including work-from-home opportunities
  • Opportunity to work abroad for up to 6 weeks per country per year
  • Enhanced family leave provisions
  • Personal learning and development opportunities (annual dedicated budget)
  • Referral bonus if we hire someone great who you’ve recommended to us
  • An Employee Equity Purchase Scheme, so you have a personal investment in the success of the company
  • Employee of the Month and Employee of the Year awards
  • 4 Volunteering days off that can be used flexibly based on the employee’s choice of initiative

Want to do a little more research before you apply?

Visit our web pages: Metamaze, Duco, head over to our Glassdoor page to learn about our benefits, and culture and to find out what our team thinks about life at Duco. You can also find out more about us on LinkedIn.


Disclaimer

Because we are committed to inclusivity, we strive to provide equitable opportunities for everyone. If you require accommodation during the recruitment process, please let us know at talent@du.co. Include your contact information, the role you're applying for, and how we can accommodate you.

During the interview process and after hire, Duco does not discriminate on the basis of race, colour, gender or gender expression, sexual orientation, marital or pregnancy status, national origin, age, disability, religion or creed, socioeconomic background or status, size, or any other protected characteristic.