Machine Learning Engineer (m/f/d)

About Kuehne+Nagel:

With over 76000 employees at some 1,300 locations in over 100 countries, the Kuehne+Nagel Group is one of the world’s leading logistics companies.

As an employer, Kuehne+Nagel stands for equal opportunity and we are committed to diversity in our teams with regard to people with disabilities. We believe that you can make a valuable contribution to Kuehne+Nagel and look forward to receiving your application.

Good Reasons to Join:

Your work will have a direct influence on the future of logistics and IT.

Your future colleagues are experts who shape the IT industry in Portugal and around the world. We want you to feel comfortable in our work environment.

That's why we are offering you flexible and remote friendly working hours.

We value teamwork, continuous learning and diversity/inclusion. Kuehne + Nagel offers you a tailor-made career - through individual planning and supervisors who support and advise you in every way.

Personally, you are supported by many work-life balance offers, supplemental health insurance and an EAP - Employee Assistant Program.

Your Role:

You will design and implement tools, services and processes to support development and operation of our AI products and ensure that cloud-based infrastructure are utilized as efficiently as possible, across data science products and projects. You champion practices like Infrastructure-as-Code and reproducibility within the data science team and integrate it seamlessly with surrounding infrastructure and processes.

Your Responsibilities :

• Build and run shared data science services and its underlying infrastructure with a mindset of true end-to-end responsibility;
• Support data products through their entire lifecycle - from ideation and specification, architectural design, prototyping and integration into productive systems;
• Continuously refine our technology landscape by evaluating new tools and technologies;
• Provide and maintain infrastructure templates shared with data science projects.

Your Skills and Experiences

• Hands-on experience with supervised and unsupervised machine learning techniques;
• Proficiency in machine learning frameworks and data analytics tools;
• Hands-on experience with big data applications, as well as with the corresponding systems and tools;
• You have ample hands-on experience with at least one major cloud provider (optimally AWS);
• You have an attitude to build solutions that do not “reinvent the wheel” but can rather themselves serve as blueprints for tackling similar or even new challenges;
• Collaborative work in international teams inspires you.