Machine Learning Engineer (m/f/x)

F H Bertling; Hamburg; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Lease a bike

EGYM Wellpass

Public transport subsidy

Home office options

Company pension scheme

Job summary

F H Bertling invites applications for a role in machine learning engineering based in Hamburg. The position focuses on developing, training, evaluating, and deploying ML models to solve real-world business and logistics challenges.

You will work with data scientists, software engineers, stakeholders, and logistics experts to translate business problems into scalable technical solutions. You will build and productionize data pipelines and ML features for training and production environments.

Qualifications

• Solid understanding of machine learning concepts, model evaluation, statistics and data preparation.
• Experience developing and deploying ML solutions.
• Able to translate business challenges into scalable technical solutions.

Responsibilities

• Develop, train, evaluate, and deploy machine learning models for logistics use cases.
• Collaborate with data scientists, software engineers, stakeholders, and logistics experts.
• Build reliable data pipelines and feature engineering processes for training and production environments.
• Productionize ML models with appropriate software engineering practices.
• Monitor model performance, data quality, and potential drift.
• Contribute to ML platform, APIs, and data products design.

Skills

ML concepts

Model deployment

Data preparation

Cloud platforms

Communication

Education

Degree in CS/DS/Math

Tools

Python

TensorFlow

Docker

Kubernetes

Job description

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