Machine Learning Engineer

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our strong global footprint, with more than 6000 employees located across eight countries and four continents, enables us to unlock the full potential towards driving a superior client experience within Allianz Group. 

Allianz Services within Allianz Technology plays a key role in Data Analytics and AI-driven transformation by providing impactful solutions, growing capabilities, and running selected innovation and scaling projects across the Allianz operating model. As ML Engineer, you will work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. 

You will

• Lead end-to-end development and delivery of Machine-Learning applications, emphasizing operations and monitoring. 

• Collaborate with multidisciplinary teams to understand business requirements, identify ML workflow requirements, improve processes, and implement new features. 

• Perform software engineering tasks: requirements analysis, design, implementation, testing, deployment, code maintenance, etc. 

• Develop pipelines for deployment and operation of ML applications, following CI/CD best practices. 

• Implement optimization techniques to ensure efficient model inference, reducing computational costs and improving response times. 

• Collaborate with Back-End Engineers to ensure the infrastructure supports the demands of the model, especially concerning GPU resources, memory, and storage. 

• Contribute to architectural and technical documentation  

 Your skills

Qualifications: 

• Degree in a quantitative or engineering field like Computer Science, Physics, Mathematics, Statistics, etc. 

• Solid understanding of machine learning product lifecycle and the commonly associated components (MLOps) 

• Fluent English skills (written and spoken) are mandatory and additional language skills are welcome 

Experience & Key Skills: 

• 3-5 years of relevant professional experience in end-to-end data projects, from data cleaning to productionizing ML models. 

• Several years of Python programming experience and overall strong software development skills 

• Demonstrated knowledge of CI/CD pipelines, Jenkins & GitHub actions. 

• Understanding of multiple machine learning algorithms and techniques. 

• Expertise in ML model deployment (familiar with REST APIs) and monitoring. 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Solid knowledge of at least one major cloud platform, preferably Azure Cloud. 

• Experience coordinating with various technical stakeholders (Engineers, Architects, Data Scientists) to achieve common goals. 

• Strong ability to self-organize, take ownership of topics, and drive them to delivery together with team members. 

Your benefits:

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

About Allianz Technology

Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 12,000 employees located in 51 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry.

We oversee the full digitalization spectrum – from one of the industry’s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age.

D&I statement

Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, ethnicity and cultural background, age, nationality, religion, disability, or philosophy of life.

Join us. Let´s care for tomorrow.

You. IT