Senior Machine Learning Engineer

Senior On-site Amsterdam, Netherlands Full-time Opublikowano 2 miesiące temu

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Umiejętności i technologie

Languages

Python

Tools & Infra

Docker Kubernetes

Direction

Machine Learning

Skills

SQL

O roli

Picnic is hiring a Senior Machine Learning Engineer for office-based work in Amsterdam, Netherlands. You will bring models into production with monitoring and integration into operational systems, across areas such as forecasting, fraud detection, recommendations, search, delivery prediction and warehouse vision.

Work format

This is a full-time position.

Skills and tools

Python
SQL
Machine Learning
Docker
Kubernetes
CI

What to prepare

Prepare a project walkthrough covering model deployment, monitoring and integration with operational systems.
Choose a Python and SQL work sample that demonstrates your approach to applied machine learning.
Prepare a non-technical explanation of an architecture decision and its connection to a business problem.

Zakres obowiązków

Identify improvements with machine learning engineers and product analysts, then put them into practice.
Take projects from initial problem definition through deployment and ongoing improvement.
Build tools and extend the cloud-based machine learning platform.
Work with business stakeholders to select problems and connect solutions to operational needs.

Wymagania

A master's degree or higher in AI, Computer Science, Mathematics or a related field.
At least 5 years of experience in data science or applied machine learning.
Strong Python and SQL skills, grounded in software engineering and machine learning principles.
Experience designing, deploying and maintaining machine learning systems in production.
Ability to explain complex technical ideas to non-technical stakeholders.
Ability to set a long-term technical direction and architecture for machine learning solutions.
Experience with Docker and Kubernetes is required.

Nice to have

Experience with CI is a nice-to-have skill.

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Picnic

Product

Amsterdam-headquartered online supermarket that builds its technology in-house: the consumer app, automated warehouse systems, electric-vehicle delivery routing and demand-forecasting models. Its tech

Lokalizacja: Amsterdam, Netherlands
Wielkość zespołu: 1000+
Polityka pracy zdalnej: Hybrid

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