Machine Learning Engineer
- Város
- Wien
- Cégnév
- Jumio
- Céginfo
- 9 állás a cégnél
- Cég címe
- Cég weboldal
- https://www.jumio.com/
- Cég link
- Hirdetés aktiválása
- Sept. 26, 2022, 7:56 a.m.
- Hirdetés utoljára aktív
- Sept. 30, 2022, 4:03 p.m.
- Link
- https://devjobs.at/job/85768831965302850
- python
- -10
Farkas Kiss Endre legjobb állása Jumio
Levél szövege
Lieber Jumio!
Ich möchte mich bei Ihrem Unternehmen als Machine Learning Engineer bewerben.
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.
Ich habe meinen Lebenslauf an diese E-Mail angehängt.
Wir freuen uns darauf, von Ihnen zu hören!
Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger
https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org
Álláshirdetés szövege
Collaborate with the R&D team to build a distributed cloud-based SaaS solution for Identity Document Classification and Data Extraction.Build scalable machine learning models, algorithms, and analytics on large financial datasets (both fiat currency and cryptocurrency) to detect suspicious activity.Maintain and improve the data pipelines which support our complex data sets.Research new techniques, algorithms, and best practices within the industry.Explore, evaluate, and integrate new data pipelines.Participate in client interactions.
Qualifikationen
Business driven and result-oriented individual.In-depth knowledge of Statistics, Probability, and Machine learning.Supervised and unsupervised statistical techniques such as regression, clustering, dimensionality reduction.Machine learning algorithms and concepts such as Random Forest, Boosting, SVMs, neural networks.Exposure to NLP models and techniques such as sentiment analysis, word embeddings, Latent Dirichlet Allocation (LDA) is a plus.Fluent in Python, including data science tools such as OpenCV, TensorFlow, Pytorch, PIL, Pandas etc.Passionate about writing reusable quality code.Effective communication & collaboration skills.
Erfahrung
Proven and relevant industry experienceExperience developing computer vision based solutions.Experience with big data technologies such as Map/Reduce, Hadoop, Hive, and Spark is a big plus.Experience using cloud based solutions: AWS, GCP, AzureExperience with ML Ops tools and practices: Docker, CI/CD etc.
Ausbildung
Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.