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Salary> 80 000 EUR/yearLocationCologne, GermanyIndustryInformation TechnologyJob Description
The client is an Association for Energy Technology and Internal Combustion Engines was founded in 1978. Since then, they have grown continuously and have developed into one of the leading and internationally recognized engineering partners for the automotive and engine industries.
In addition to the original focus on the development of combustion engines, further competencies in the fields of electrics / electronics, alternative drives, transmission technology and energy technology have been added.
Our own experience with engine test bench investigations has led to a separate division. Today we are one of the world's leading providers of test equipment through to the representation of turnkey test centers.
In 1985 They founded a North American subsidiary for the local markets. After just two years, the company's headquarters were relocated from California to Detroit, Michigan.
They have been using a newly established “North American Technical Center” since 1997, which has been continuously expanded since then.
The tremendous growth was initially strongly focused on the European and North American markets. Nevertheless, the client recognized the opportunities that were opening up on the Chinese market very early on and founded its first office in Beijing in 1998.
At the beginning of the new millennium, they opened another chapter in the company's history with the establishment of the “Asian Technical Center” in Dalian, China.
In 2009 the “India Technical Center in Pune” opened. In the same year they were able to put into operation a worldwide unique endurance test center with 31 engine and drive train test stands in Brehna (near Leipzig).
Thanks to the great acceptance from our customers, a further expansion of this facility began in 2011.
Now we are looking about you as new project leading member of our Data Science Team as
Data Science KI/AI/ML Project Manager
Candidate Profil/Job Description
TASKS
English Language Level min C1 and German Level B2 is a must.
Completed studies in the subjects of data science, computer science, mathematics or physics with a focus on machine learning, artificial intelligence or statistics
Excellent understanding of basic tasks and procedures / best practices for executing both Data Science (DS) and Machine Learning (ML) projects.
Good understanding of and familiarity with involved workflows such as data processing pipelines, machine learning principles and associated tooling.
Experience regarding testing / verification and validation in the field of DSML and software development.
Good project management skills regarding content planning
(WBS w/ logical sequencing of work packages and time scheduling in different formats such as Gantt and network)
effort estimation, controlling and reporting.
A widely accepted quality or project management certification (e.g. PMI, IAPM) is beneficial.
Good knowledge regarding MS Office applications and communication tools (mostly Windows).
SCOPE OF WORK
Planning and executing data science and machine learning projects.
Discussion and negotiation of relevant project content with customers.
Project responsibility / managing data science and machine learning projects.
Internal and external communication and reporting.
Supporting strategic road mapping
Excellent communication skills and an entrepreneurial mindset
Experience in cross-functional teamwork
WHAT WE OFFER
Shape the mobility of tomorrow
Work on innovative and future-oriented challenges.
Work flexibly
Our working time model and our company day-care center (depending on location) enable you to perfectly coordinate your private and professional life.
Broaden your horizons
Not only does your daily work on new technologies educate you, our training program also helps you stay up to date.
Stay fit
An extensive range of company sports (depending on the location) and company health management keep you fit and provide the right balance.
Experience appreciation
An attractive basic salary and numerous other benefits open up new opportunities for you.
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