Machine Learning Engineer at Brunel GmbH

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 26

Salary

60000.0

Posted On

24 Sep, 26

Experience

20 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information & Data Services

Description

Your tasks

Do you want to take your career to the next level? At Brunel, you have the opportunity for continuous development across various industries. Together with our clients, we implement forward-looking and exciting engineering projects. With us, you'll build cross-industry expertise and shape your career path flexibly. Take the decisive step in your career today and apply to us as a Machine Learning Engineer.

Development and implementation of machine learning (ML) and deep learning (DL) models with a focus on computer vision and generative AI.
Provision and optimization of ML systems for productive use, including integration into existing software architectures.
Collaboration with interdisciplinary teams to develop innovative solutions in the field of Natural Language Processing (NLP).
Conducting experiments to evaluate and improve model performance.
Analysis of data and identification of patterns to support model development.
Documentation of the developed models and systems, as well as training of team members and stakeholders.

Your qualifications

A completed degree in computer science, mathematics, data science, or a related field. Solid knowledge of machine learning and deep learning, particularly in the areas of computer vision and generative AI. Experience in deploying ML systems and working with common ML frameworks (e.g., TensorFlow, PyTorch). Knowledge of natural language processing (NLP) is advantageous. Strong analytical and problem-solving skills. Teamwork and communication skills.

Your advantages

We offer a corporate culture characterized by the diversity of our employees and mutual respect – among colleagues and at all levels of the company. This includes regular informal gatherings with the local Brunel teams, as well as regular feedback sessions with your account manager to discuss your challenges and career prospects. You will receive optimal support through individualized professional development and training programs, preparing you for future projects. Permanent employment contracts, 30 days of vacation, flexible working hours, and a company-funded pension plan are standard benefits.

Responsibilities

Your tasks

Development and implementation of machine learning (ML) and deep learning (DL) models with a focus on computer vision and generative AI.
Provision and optimization of ML systems for productive use, including integration into existing software architectures.
Collaboration with interdisciplinary teams to develop innovative solutions in the field of Natural Language Processing (NLP).
Conducting experiments to evaluate and improve model performance.
Analysis of data and identification of patterns to support model development.
Documentation of the developed models and systems, as well as training of team members and stakeholders.

Your qualifications

Your advantages

We offer a corporate culture characterized by the diversity of our employees and mutual respect – among colleagues and at all levels of the company. This includes regular informal gatherings with the local Brunel teams, as well as regular feedback sessions with your account manager to discuss your challenges and career prospects. You will receive optimal support through individualized professional development and training programs, preparing you for future projects. Permanent employment contracts, 30 days of vacation, flexible working hours, and a company-funded pension plan are standard benefits.