Senior Machine Learning Engineer (Switzerland - Hybrid)

Posted 6 Days Ago
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Zürich
Senior level
Artificial Intelligence • Logistics • Software • Automation
The Role
Develop machine learning architectures and solutions, conduct code reviews, and enhance prediction services with a focus on NLP and scalable design.
Summary Generated by Built In

Join blp – The #1 Solution for ERP Automation

Our AI-driven ERP automation is transforming finance, procurement, logistics, sales, and more. As one of Switzerland's fastest-growing SaaS scale-ups and an official ETH and HSG spin-off, we are proudly self-financed and fully employee-owned.

Our success stems from deep expertise in technology and business processes, delivering a superior product with an outstanding product-to-market fit, proven by our growing customer base, including Fortune 500 companies.

Our rapid growth and career opportunities have been recognised with the LinkedIn Top Startup Award, and we’re just getting started. Our HQ? Zürich’s iconic Bahnhofstrasse, a fitting home for a company redefining how businesses operate.

Ready to build the future? Join blp today.

About ML at BLP
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, TensorFlow, Redis, RabbitMQ, 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:

  • Design and develop clean and maintainable software solutions using Python, leveraging industry best practices and design patterns, ensuring high code quality.

  • Conduct code reviews and provide constructive feedback to ensure the overall quality and consistency of the codebase.

Machine Learning:

  • Bridge the gap between the business case and the technical solution to solve it, while focusing on choosing the right tool for the job.

  • Develop and maintain custom transformer-based NLP architectures.

  • Understand and reason about state-of-the-art research, extract relevant ideas from it and use it to improve our models.

  • Work on all aspects of the end-to-end prediction service, including data-management, model improvements, monitoring and scalability

Requirements:

  • Masters or PhD Degree in Data Science/Computer Science with a focus on ML or equivalent practical experience.

  • Typically 5+ years of experience with Machine Learning algorithms in either an academic or industry setting.

  • Structured and self-reliant approach.

Top Skills

Docker
Kubernetes
Python
RabbitMQ
Redis
TensorFlow
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The Company
HQ: Zurich
74 Employees
On-site Workplace
Year Founded: 2019

What We Do

The new #1 ERP-Automation solution for Finance, Procurement, Logistics, Sales and many more.

BLP develops state-of-the-art machine learning algorithms to automate entire ERP processes.
As one of Switzerland's fastest-growing SaaS scale-ups and an official ETH and HSG spin-off, we are proudly self-financed and fully employee-owned. We have grown from 15 to more than 70+ skilled professionals.

Interested in our ERP-Automation?

Our ERP-Automation solution is powered by the cloud and AI native. We are designed to transform your business operations by freeing your team to focus on where they create most value.

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