machine learning engineer - αθήνα

Δημοσίευση
Επικοινωνία
Φιλέρη Παπαδογιωργάκη, Randstad Hellas
Τύπος εργασίας
μόνιμη
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Περισσότερες πληροφορίες για αυτή τη θέση εργασίας

Δημοσίευση
Τοποθεσία
αθήνα, αττική
Κλάδος
πληροφορική / IT
Τύπος εργασίας
μόνιμη
Κωδικός θέσης εργασίας:
31966
Επικοινωνία
Φιλέρη Παπαδογιωργάκη, Randstad Hellas
Τηλέφωνο
2106770523

περιγραφή εργασίας

Would you be interested in making your next career step as a Machine Learning Engineer for a pioneer health science company? Are you looking for a 100% remote role with flexible working hours for a US-based organization? Then check out this interesting opportunity!

This Machine Learning Engineer position is fulltime and permanent in Greece. 

παροχές

The company offers ​the following benefits for this Machine Learning Engineer position:

  • An attractive salary package
  • 100% remote work
  • Opportunity for rapid career advancement
  • Flexible working hours
  • Training & development

αρμοδιότητες

As Machine Learning Engineer you would need: 

  • Build and manage databases of healthcare data and human microbiome samples.
  • Design, build, enhance, and launch ETL processes for new and existing data sources.
  • Build out automated solutions for ML features; training, testing, validation, and release.
  • Collaborate with our bioinformatics team to enhance and automate the data collection processes.
  • Work closely with data scientists, bioinformaticians and engineering teams to capture and define data requirements and build the vital tooling required to ensure timely delivery of high-quality data.

προσόντα

The requirements for this Machine Learning Engineer position are:

  • 3+ of relevant experience
  • Experience at managing and designing databases (RDBMS mainly)
  • Experience with data modeling, developing data pipelines, data warehousing, and with ETL design, implementation and maintenance
  • Experience with microservices architecture via Docker, Kubernetes, etc.
  • Experience in using Cloud services for data engineering
  • Deep understanding of Machine Learning algorithms foundations and Statistics

δεξιότητες

  • flexibility
  • the ability to learn
  • creativity

εμπειρία

  • BSc and MSc in Computer Science, Engineering, Mathematics, Physics, or a related quantitativ

απαιτούμενη εκπαίδευση

  • Bachelor

πληροφορίες

For any further info about this Backend Software Architect position, you can contact Fileri Papadogiorgaki at fpapadogiorgaki@randstad.gr or at 216 6001329. We look forward to receiving your application, uploading your updated English CV by clicking the 'apply now' option.

In case your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions. 

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​ All applications are considered strictly confidential.