Data Engineer Developer - Hiring in process/Finished, not possible to apply

Description & Tasks

CEVT is an established R&D center for the Geely family and is on a journey to establish itself as an expert center for AI. This means that you will play an important role in setting the foundation and creating our future organization, Furthermore, you will:

• Work in a cross-functional agile and international team of machine learning engineers, data scientists, data engineers and business stakeholders.
• Take the ownership of specific components, make them reliable, scalable and help to design the overall architecture. You will participate in the operation of the services to take end-to-end responsibility. Together with your teammates, you will foster the software engineering and data engineering culture in our team.
• Translate business needs into technical solutions and you will be responsible to develop MLOps pipelines for the analysis of large-scale and high-dimensional data, from raw data to deployment ready and production. Further you will review code written by others.
• Together with your team design, develop and maintain the large-scale data infrastructure required for the machine learning projects.
• Cooperate with domain experts and engineering teams and share knowledge by clearly articulating results and ideas through presentations to colleagues, management, and key decision makers.
• Work closely with product owners and business architects to build CEVT’s product portfolio and technical roadmap

Qualifications

• Excellent degree (PhD or Master) in computer science, mathematics, physics or related field with strong background in deep learning (DL) and machine learning (ML).
• Several years of professional experience in software development, proficiency in some modern programming languages (e.g. Python, Java or Go) and Linux
• Experience in developing software in AI or data centric domains (e.g. Kubeflow, MLFlow,LakeFS, Dolt, Great Expectations, TorchServe, ...)
• Demonstrated ability to write clean, maintainable and production grade code.
o Experience in scaling applications and services to large data volumes, as such firm knowledge of modern Big Data warehousing technologies (e.g. Dask, Spark and Parquet) and distributed computing (e.g. Kubernetes).
• Knowledge of relational databases (e.g. PostgreSQL), and modern, scalable storage technologies(e.g. S3), knowledge of metadata management and schema evolution strategies, knowledge of software engineering best practices (e.g. code reviews, CI/CD, testing, operations) and cloud
technologies is a big plus.
• You value the principles of the Agile Manifesto. You like to continuously grow your skills and support your colleagues in improving theirs
• Fluent in English (written and spoken)

Terms

Open for discussion to select employment or subcontractor role.