Join us to build the bank of the future together!
With the integration of 3 banking institutions, we open a new chapter in the Hungarian banking.
Foundation is an organisation, which started reshaping one of the first new digital & Agile Hungarian banks- throwing out the old legacy systems.
From technical perspective, it’s a SaaS based new banking core system (Thought Machine) with Cloud (AWS) and Microservices, built on the latest technologies, which is not only a technological, but also a cultural transformation.
Within the Advanced Analytics team, ML Productization Engineers are building a bridge between ML engineers and ML DevOps by delivering products from proof-of-concepts (PoCs). You are going to combine state-of-the-art pipelines and DevOps frameworks for delivering self-running AI systems. They transform the PoCs into working products which are able to continuously perform and monitored.
- Close collaboration with Product Owners and team members to create a product from existing ML PoC solutions
- Planning and delivering a continuously responsive product which should be integrated and optimized for the internal cloud infrastructure
- Managing tasks on time, with responsibility and with high quality
- Ensuring, that the PoC products are efficient and robust with a live database connection
- Ensuring, that all services are continuously monitored, and alerts are sets for performance issues
Conditions for getting the job
- Solid understanding in Python, API, Kafka, Docker, Kubectl, Kind/Minikube, Kubeflow/Airflow
- Experience of state-of-the-art pipeline and DevOps frameworks
- At least 2+ years developer or data warehouse background
- Problem solving attitude, being able to think on system level
- Growth mindset
- Ability to learn new solutions and implement them within the company
- Ability to develop robust solutions
- Good written&verbal communication skills, working independently and also in a team
What we offer
- Effect on the relationship among people and finance in a new, fintech, customer focused bank
- Participation in a brand new technological building, which comes really rarely in life as an opportunity
- Being there in the very beginning of a new and modern organization, which you can also form, if you want
- Have a look into a halfly startup world, with the strong background of a stable bank
- Support in many challenges to reach your next career level
- Flexible working hours, home office, team building? Sure!
Details of position
Machine Learning Productization Engineer
Magyar Bankholding Zrt. - Adatkezelési tájékoztató állásra pályázók részére
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