Machine Learning Engineer (m/f/x)

Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
AI, Machine Learning, Logistics, Software Engineering, Data Science, Computer Science, Data Products, Date Pipelines, Models, Statistics, Model Evaluation, analytical, problem solving
Tech
ml
Source
arbeitnow
First observed
2026-09-30 18:55 UTC
Last seen
2026-09-30 18:55 UTC
Source claims posted
2026-09-30 17:09 UTC
Consecutive misses
0 of 3

What the posting says

Your mission

Develop, train, evaluate, and deploy machine learning models for real-world business and logistics use cases

Work with data scientists, software engineers, business stakeholders, and logistics experts to translate business challenges into scalable technical solutions

Build reliable data pipelines and feature engineering processes for training and production environments

Productionize machine learning models using appropriate software engineering

Monitor model performance, data quality, reliability, and potential model drift

Contribute to the design of machine learning platforms, APIs, and data products

Document models, assumptions, interfaces, processes, and results clearly

Support the adoption of best practices in machine learning, software development, testing, version control, and deployment

Stay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI

Your profile

Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field

Professional experience developing and deploying machine learning solutions

Solid understanding of machine learning concepts, model evaluation, statistics, and data preparation

Familiarity with cloud platforms and modern data or machine learning infrastructure

Ability to communicate technical concepts clearly to both technical and non-technical stakeholders

Strong analytical and problem-solving skills

Fluent English, both written and spoken

Why us?

A permanent employment contract and very good individual development and advancement opportunities in a globally active company

Work Life Balance with homeoffice opportunities

An attractive salary and other benefits, such as "emplu", “Lease a bike” and “EGYM Wellpass”

A subsidized company pension scheme, capital formation benefits

A subsidy on public transportation

A company with flat hierarchies where you can grow and feel comfortable

A challenging and varied job as well as independent work

A pleasant and collegial working environment

A new modern office

Find more English Speaking Jobs in Germany on Arbeitnow

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1096584 2026-09-30 18:55 UTC
    Published