What you'll do
As a Machine Learning Engineer, you will be part of our international and agile IT Team. Together with your colleagues you will combine technical expertise with regulatory know-how to build innovative and cutting-edge AI / ML solutions for internal and external users.
- You will select, train and tweak AI Models with different datasets in an MLOps approach
- You contribute to new architectural approaches for AI Models to accomplish tasks in the fields of NLP (LLMs), classification and regression
- You will scrap, map, and implement data automation pipelines for preprocessing
- You will work in a team, dedicated to build AI/ML based solutions in our product landscape or introduce new products
- You will work in a multicultural, international team in an agile environment
Why we should decide on you
- Successfully completed university studies in the field of machine learning, computer science, mathematics or a similar area
- At least 3 years of experience in the fields of full machine learning / AI development (in Python or R) and MLOps principles
- You have worked with at least one of the following relational databases: PostgreSQL, Microsoft SQL Server, MySQL or Oracle
- You have worked with any backend service written in Java, Python or R and exposed WebServices
- You set a focus on quality and clean code
- You have a hands-on mentality, a proactive and communicative personality, are open to innovation, are eager to continually learn and you use feedback as a basis for optimization
- You have a trusting & responsible mindset and enjoy working internationally in a constantly growing and agile team
The following skills will be considered as an advantage:
- Experiences in modern web technologies, e.g., Angular and TypeScript
- DevOps principles for Containers, Helm and K8s
- Hands-On experience in GCP, Azure or AWS for MLOps
Why you should decide on us
- Let’s grow together, join our market leading SaaS company – our agile character and culture of innovation enables you to design our future.
- We provide you with the opportunity to take on responsibility and participate in international projects.
- In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
- Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
- We are proud of our positive working atmosphere characterized by a supportive team across different locations and countries and transparent communication across all levels.
- Together we're better - meet your colleagues at our numerous team events.
To get a first impression, we only need your CV and look forward to meeting you in a (personal/virtual) interview!
Recognizing the benefits of working in diverse teams, we are committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, and sexual identity.
Are you interested? Apply now!
https://www.regnology.net Role ID (B) : ML01_2025
Über uns
Regnology ist ein international führender Anbieter für innovative Lösungen im Bereich Regulatory, Risk und Supervisory Technology (RegTech/RiskTech/SupTech), für AEOI und Steuerreporting sowie für Services für das aufsichtsrechtliche Meldewesen entlang der regulatorischen Wertschöpfungskette. Regnology ist seit 25 Jahren ein Partner für Banken und Regulierungsbehörden. Bis Ende 2020 war das Unternehmen Teil der BearingPoint-Gruppe und firmierte unter dem Namen BearingPoint RegTech. Seit dem Verkauf des RegTech-Geschäfts an das Private-Equity-Unternehmen Nordic Capital ist das Unternehmen unabhängig. Im Juni 2021 hat sich das Unternehmen mit Vizor Software zusammengeschlossen und kürzlich den Namen in Regnology geändert. Insgesamt nutzen mehr als 7.000 Firmen, darunter Banken, Versicherungen und Finanzdienstleister, Reporting-Lösungen von Regnology. Gleichzeitig setzen mehr als 50 Aufsichtsbehörden und Steuerbehörden auf fünf Kontinenten die SupTech-Lösungen des Unternehmens ein, um Daten von 34.000 Firmen in 60 Ländern zu erfassen und zu analysieren. Regnology beschäftigt insgesamt über 770 Mitarbeiter an 17 Standorten in 12 Ländern.
Du hast Fragen? Schreib uns gerne unter:
recruiting@regnology.net
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