Switzerland Job Openings
BLP Digital AG
Senior Machine Learning Engineer (Switzerland - Hybrid)
Zürich
FULL TIME
October 17, 2024
About BLP Digital
At BLP Digital, we develop a cutting-edge product for automated document processing. Machine learning is at the core of our business, and we continuously strive to enhance the quality of our predictions using state-of-the-art machine learning models. Working in a startup presents exciting challenges, such as scaling both our team size and the processing volume to accommodate growing demands. Throughout this journey, we prioritize a simple and maintainable architecture to ensure efficient operations. To stay at the forefront of technology, we leverage a modern tech stack that includes Python, Docker, Tensor Flow, Redis, Rabbit MQ, and Micro Services on a Kubernetes Cluster, deployed as Software-as-a-Service on one of the big cloud providers. In our team, we value the opportunity for our engineers to shape the future and have a significant impact on various aspects. This influence spans areas such as organizational structure, the coding process, team culture and organization.
Location: This is a full-time position with on-site presence at our office in central Zurich, Switzerland.
Key Responsibilities:
Software Development:
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Design and develop clean and maintainable software solutions using Python, leveraging industry best practices and design patterns, ensuring high code quality.
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Conduct code reviews and provide constructive feedback to ensure the overall quality and consistency of the codebase.
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Bridge the gap between the business case and the technical solution to solve it, while focusing on choosing the right tool for the job.
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Develop and maintain custom transformer-based NLP architectures.
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Understand and reason about state-of-the-art research, extract relevant ideas from it and use it to improve our models.
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Work on all aspects of the end-to-end prediction service, including data-management, model improvements, monitoring and scalability
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Masters or Ph D Degree in Data Science/Computer Science with a focus on ML or equivalent practical experience.
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Typically 5+ years of experience with Machine Learning algorithms in either an academic or industry setting.
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Structured and self-reliant approach.
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