Senior Machine Laerning Engineer
il y a 2 semaines
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 and experienced Machine Learning Engineer to join our dynamic team. As a key member of the engineering department, you will play a crucial role in developing, deploying, and enhancing our Intelligent Document Processing platform. You will have the opportunity to work on cutting-edge NLP techniques and leverage recent advancements in the field to solve complex document-processing challenges.
What you will be working on
Collaborating with cross-functional teams to gather requirements for the development process Optimizing and fine-tuning existing models to improve accuracy, performance, and scalability as well as implementing machine learning algorithms and models for Intelligent Document Processing Integrating machine learning 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 publicationsStaying informed about the latest advancements in NLP and document processing. 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 Strong background in Machine Learning (3-6 years of professional experience) with expertise in Natural Language Processing techniques including in-depth 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 databases like MongoDB. Knowledge of OCR (Optical Character Recognition) techniques is highly desirable Experience with cloud platforms 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 and the ability to work on complex challenges independently. 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 resultsOur benefits
Contract with Metamaze with a competitive salary above the market average Group life insurance Hospitalisation Insurane Company phone and subscription Company car or tax-free mobility budget it applies Lunch allowance (meal tickets) 32 days of vacationsWant 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 . 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.
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