Machine Learning Engineer (m/f)

Job description

Tasks

Initiate, manage, design, implement and deliver machine learning/data mining, analysis/context-aware solutions
Collect, process and analyse large dynamic real-world heterogeneous data sources
Develop well-performed computational and statistical models
Design and implement scalable data-driven solutions
Develop novel and useful machine learning and data mining techniques, as well as assess 3rd party machine learning and data mining components
Support the creation of MVPs and prototypes
You have an aptitude for rapidly learning new concepts and technologies and applying them in an agile manner
You have up-to-date and comprehensive knowledge of current technology trends

Qualifications

Wed love to hear from candidates with relevant experience in a commercial or academic environment.
Data Scientist candidates ideally have an advanced degree in Computer Science or related fields, and should be well-versed in two or more of the following:
Image recognition
Big data
Deep Learning
Artificial Intelligence (AI)
Parallel processing
Complex mathematic algorithms
Extreme data compression
Implementation of AI platforms, services, and ecosystems as it relates to pattern recognition, data classification, and predictive analytics
Programming using agile/scrum development methods is a plus Rapid prototyping for complex wireless sensor/actuator systems

This is a full-time job (also suitable for part-time), temporary for 2 Year(s)

Our Berlin Innovation Hub is a space for invention and creation: we push the boundaries of connected logistics systems enabled by Internet-of-Things, artificial intelligence and big data science. We are creators and developers, designers and creatives, techies and data scientists. Our way of working is collaborative: rapid prototyping for validated learning and creating MVPs is second nature for you.
We are working on delivering unique digital products, services and new data-driven business models that bring value to the global logistics ecosystem.
Innovative environment working for the B2B pioneer in automotive connectivity solutions

What we offer you
Thrilling projects in international interdisciplinary teams with global market impact
Attractive compensation package
Creative atmosphere in co-working space Ahoy! Berlin
Flat hierarchy, open collaborative culture, with English as primary language (German beneficial)
Plenty of room for your own ideas and self-organised work to see your ideas come to life and scale globally
Liaison with the Daimler group with the flexibility of a digital innovation lab
The job is full-time and limited to a term of two (2) years with the option of a permanent employment contract.
Location: Berlin

Send us an email to with desired salary, earliest availability and with your CV and case studies attached.
In your email application, please describe a project/situation when you applied AI/Machine Learning to solve a real-life business problem. Please keep your answers concise, and limited to 300 words.

Desired profile

Qualifications

Wed love to hear from candidates with relevant experience in a commercial or academic environment.
Data Scientist candidates ideally have an advanced degree in Computer Science or related fields, and should be well-versed in two or more of the following:
Image recognition
Big data
Deep Learning
Artificial Intelligence (AI)
Parallel processing
Complex mathematic algorithms
Extreme data compression
Implementation of AI platforms, services, and ecosystems as it relates to pattern recognition, data classification, and predictive analytics
Programming using agile/scrum development methods is a plus Rapid prototyping for complex wireless sensor/actuator systems