Machine Learning Engineer

TicketSwap

Netherlands · Full-time · Entry

What You'll Do

This year, we're ramping up our machine learning efforts, focusing particularly on leveraging open source large language models to enhance our platform. Our MLEs play a critical role in shaping these initiatives from the ground up - from conceptualizing new ideas to bringing them to life through development, deployment, and ongoing optimization.

We're using on-premise hardware for model prototyping and development. Plus, our growing MLops infrastructure supports our team in experiment management, ensuring efficient tracking, smooth deployment, and meticulous monitoring of our models.

Key Responsibilities

Apply Machine Learning / Artificial Intelligence to personalization, discovery, fraud detection and natural language processing;
Design Machine Learning solutions for TicketSwap’s unique product challenges;
Manage models entire lifecycle from prototyping, to deployment, to continuous improvement and monitoring;
Producing data insights: extract value from data and drive improvements and strategic decisions;
Work closely with the different stakeholders, understand their problems and come up with solutions;
Help with the continuing development of our MLops pipeline;
With data driven decision making playing an important role the ML products you develop will have real impact on customers and the business.

About You

Work experience as a Machine Learning Engineer or a Data Scientist;
You are based in The Netherlands, are an EU resident, or have an existing visa to work here. A relocation package is not provided;
Solid theoretical knowledge of Machine Learning;
Familiarity with at least 2 of: Scikit Learn, TensorFlow/Keras, PyTorch, one of the llama or LLM ecosystems;
Strong understanding of Python and OOP design principles;
Good knowledge of data preprocessing and feature engineering;
Comfortable with SQL;
Ability to work with git, write code reviews, and tests;
Passionate about building delightful products for users;
Strong communication and team-work skills.

Nice to have

Working experience with ETL and Data Pipelines;
Familiarity with tools relevant to our workflow: AWS (S3, ec2, Redshift, SageMaker), ClearML, Hydra Framework, Docker;
Experience with MLops beyond experiment tracking;
Knowledge of statistics/statistical modeling.

Excited and ready to join our team?

TicketSwap is looking for the best and motivated talent out there no matter your nationality, gender, sexual preference or religious beliefs. 🚀

Research shows that women and those in traditionally underrepresented groups tend to apply only if they check all the boxes. That’s a shame, as we want to build a diverse and inclusive team. If you know you’ve got what it takes but don’t quite meet every requirement for the role, we still encourage you to apply.

Apply now – we'll take a look and get back to you as soon as possible! 💥

Proactive acquisition from 3rd parties is not appreciated.

Key Skills

Ranked by relevance

machine learning mlops prototyping artificial intelligence scikit learn pytorch python git aws etl oop s3

Related Jobs

3 roles aligned with this opportunity

View all jobs