Machine Learning Engineer

About The Job

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 have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people are what matter most, rooted in our values, and we strive to continuously evolve, improve, and create a superior client experience while contributing successfully to the transformation of Allianz.

Allianz Services Spain 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 part of the Data Analytics Solutions working with data to create models, performing statistical analysis, and training and retraining systems to optimize performance.

What You Do

• 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
  
  

What You Bring

• Solid understanding of the machine learning product lifecycle and MLOps components; understanding of multiple machine learning algorithms and techniques.
• Several years of Python programming experience with strong software development skills; demonstrated knowledge of CI/CD pipelines, Jenkins, and GitHub actions.
• 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 technical stakeholders like Engineers, Architects, and Data Scientists.
• Strong ability to self-organize, take ownership of topics, and drive them to delivery with team members; insurance knowledge and proficiency in additional languages.
• 3-5 years of professional experience in end-to-end data projects, from data cleaning to productionizing ML models; experience in newer ML approaches like LLM and computer vision.
• Degree in a quantitative or engineering field such as Computer Science, Physics, Mathematics, or Statistics; fluent English skills (written and spoken) are mandatory, additional language skills are welcome.
  
  

What We Offer

• 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

With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience.

We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction.

In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.

Find us at: www.linkedin.com/company/allianz-technology.

D&I statement

Allianz Technology is proud to be an equal opportunity employer that embraces diversity and commits itself to creating an inclusive work environment for all.

We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let´s care for tomorrow.

You. IT.