Type of contract:

Full-time, Permanent

Experience level:

Professionals

Remote work:

Possible

Job field:

Data Analytics & Business Intelligence

Entry date:

2025/01/01

Posting date:

2024/12/05

Job number:

DE_RS_15618

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Your responsibilities

As a Senior Data Scientist / AI Developer at AIMS, you will be a key player in the development of innovative AI technologies for maritime applications. Your expertise in data analysis, machine learning, and AI model development will contribute to our goal of revolutionizing marine systems. You will work closely with a dedicated team, engaging in research, development, and the practical application of AI-driven solutions in the maritime sector.

Key Responsibilities:

Develop and implement AI algorithms for maritime systems, focusing on machine learning, deep learning, and predictive analytics.
Analyze large and complex datasets collected from autonomous underwater vehicles (AUVs), ships, and other maritime platforms.
Train, validate, and deploy AI models for tasks such as autonomous navigation, object detection, and environmental data analysis.
Collaborate with other team members on AI projects, contributing to the development of new ideas and approaches for maritime technology.
Assist in the evaluation and selection of tools and platforms for AI development, data processing, and data visualization.
Support the AI team with hands-on data analytics, coding, and deployment of machine learning solutions.
Stay updated on the latest advancements in AI and machine learning to ensure AIMS remains at the cutting edge of maritime AI technology.

Your profile

Extensive experience in AI development or data science, with a focus on machine learning and data analytics.
Proficiency in programming languages such as Python, R, C++, or MATLAB, along with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong analytical skills with a proven ability to work with large, unstructured datasets.
Practical experience in deploying AI models to production environments.
Additional knowledge in signal processing, computer vision, or robotics is highly desirable.
Exceptional problem-solving skills and a proactive, solution-oriented approach.
Fluency in both German and English, with excellent communication skills.

Your benefits

Partly Mobile Work
thyssenkrupp Corporate Benefits
Bike-Leasing
Jobticket
Wellpass
Supplementary health insurance
Corporate Health & Check-ups

We work together closely and respect each other, for over 200 years now and up till today. If that is just as important to you as it is to us, please apply online now under specification of your salary requirement and your notice period.

Contact

Holger Meyer

Important to us

Health & Safety

Highest health & safety standards and a wide range of health promotion and healthcare activities.

Pension

We have various financial models to give you individual support.

Collaboration

Collegiality is of huge importance – we treat everyone with respect and appreciation.

Development

Training and education programs to help you develop professionally and personally.

Compensation & benefits

Fair working conditions and competitive pay are an important basis for us.

Diversity

We promote an open and tolerant work culture.

Work-Life Balance

Work-Life Balance: we guarantee regular working hours to support work-life balance.

Creative leeway

We offer a work environment in which you can try out new solutions in a no blame culture.

Vacation and paid time off

Vacation and paid time off: Paid vacation, sick leave and personal days.

Sustainability

We act with responsibility and environmental awareness. We support sociopolitical initiatives and focus on resource efficiency.

Onboarding

Onboarding: individual and personal support to help you get started in your new job.

Company

ATLAS MARIDAN ApS is a Danish company with branches in Germany.

The Danish site develops, integrates, tests, repairs and maintains unmanned vehicles (UxVs), primarily autonomous underwater vehicles (AUVs).

Offshore exploration tasks (surveying operations) and the central management of research and development are carried out by the German branches.

We are active nationally and internationally in the areas of:

Offshore site investigations with a primary focus on offshore renewables
Geophysical surveys specialized in the detection of unexploded ordnances
Ultra-high-resolution seismic surveys
Development, manufacturing, repair, maintenance, integration, and testing of autonomous, uncrewed maritime vehicles (UxV)

An experienced team is available to handle various projects. The technical staff includes engineers specialising in process engineering, hydrographic engineering and geodesy as well as natural scientists from the fields of geology, geotechnics and geophysics.

The newly established development unit AIMS (Artificial Intelligence Marine Systems) within ATLAS Maridan ApS, a subsidiary of ATLAS ELEKTRONIK GmbH, is a dynamic team dedicated to developing innovative solutions based on artificial intelligence. This independent development department is located within a startup ecosystem in the heart of Bremen.

The vision is to revolutionize the maritime world through AI-powered technology from autonomous underwater vehicles and intelligent ship control systems to predictive maintenance for maritime equipment. At AIMS, you'll find an inspiring work environment full of challenges and opportunities to contribute your expertise and actively shape the future.

From receiving your documents to acceptance: the application process

Step 1

Online application

Have you found an interesting vacancy? Then apply online. You won’t need more than 10 minutes. The entire application process – from initial contact to response – usually takes between four and six weeks.

Step 2

Receipt of your application

You will receive confirmation that we have received your application – within a few minutes if you apply online; it may take a couple of days if you apply by email. Our recruiters check your application documents and get in touch with you. For some positions we will conduct a preliminary telephone interview with you.

Step 3

Review by functional department

Our recruiter submits a preliminary selection of candidates to the specialist department for consideration. The department will then look closely to check whether your qualifications meet the requirements of the job.

Step 4

Interview

If you are a suitable candidate for the job, we’d like to get to know you personally in an interview with the specialist department and HR. If you or we need more time, we'll invite you to a second interview. Due to the Corona pandemic, these interviews can currently also take place digitally. The best thing to do is to contact your local recruiting expert directly.

Step 5

The offer

Once we have agreed the contractual details, we will send you an employment contract. We will of course also let you know if your application is not successful.

Step 6

Starting out with us

Finally the time has come: welcome to thyssenkrupp!

Step 7

Onboarding

When you sign your contract you take your first step into one of the world’s biggest companies. We’re there to support you – right from the start.

Notes on application

You will have submitted your online application to thyssenkrupp in no time! As long as the position is available on our career page, you have the opportunity to apply.

We have adapted the application process to the current situation and conduct our interviews by video (not in the U.S.), telephone and also personally - in compliance with the applicable and necessary distance and hygienic rules. You will receive detailed information on this topic from our recruiting experts during the application process, while you can find general information and application tips here finden.

Further information about thyssenkrupp, our products and locations can be found directly on the company website.

We wish you every success with your application and stay healthy!

Senior Data Scientist / AI Developer (m/w/d)

Bremen, Germany — ATLAS MARIDAN ApS

Job details

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Your responsibilities

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