Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our global footprint, with more than 7,300 employees located across ten countries and four continents, enables us to unlock value for our partners across the insurance value chain and deliver superior client experience within Allianz Group. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people and our trusted relationships with partners are what matter most. These are rooted in our values of compassion, integrity, and expertise and we strive to continuously evolve, improve, and deliver excellence while contributing successfully to the transformation of Allianz. Caring actively for the environment, for people, and for our customers is what makes us a great place to work and together we are shaping a better and more caring tomorrow.

Allianz Services is a company which belongs to the legal entity, Allianz Technology SE.

Job role

We are seeking a skilled professional to develop and deploy Machine Learning (ML) and GenAI applications, focusing on operational efficiency and monitoring. The role involves addressing bottlenecks, collaborating with product teams, and ensuring smooth adoption of ML workflows. You will follow industry best practices such as Agile and DevOps, handle software engineering tasks (design, development, testing, deployment), and contribute to technical documentation. Additionally, mentoring junior colleagues and coordinating with cross-functional teams are key responsibilities.

What you will do

Enable the successful development and deployment of Machine-Learning and (Gen)AI applications from conceptualization to production with an emphasis on operations and monitoring.
Detect, analyze, address bottlenecks and pain points along the ML workflow with patterns and practices that will improve quality and speed.
Listen and engage with the product team members to ensure their adoption in a collaborative and influential fashion so that siloed behavior is prevented.
Follow standard industry processes such as Agile, DevOps, version control, model management, deployment and operation of ML applications.
Keep hands-on performing software engineering tasks such as: requirements analysis, design, development, testing, deployment, code maintenance, data pipelines, etc.
Contribute and review architectural and other technical documentation, acting as a sparring partner.
Mentor / train more junior colleagues in areas of expertise.

What you bring

Must have :

Master's degree or PhD in a quantitative or engineering field like Computer Science, Physics, Mathematics or Statistics.
Fluency in English is a must.
Previous experience in business-related functions (e.g. Sales, Operations, Claims, Underwriting, Investment Management, Asset Management, Consulting, Product Development, Finance, Market Management, Digital / Tech etc.) is a plus.

Preferred Qualifications:

At least 5 years of hands-on experience as part of end-to-end ML projects.
Expertise in technical documentation practices (e.g. Arc42).
Knowledge of continuous monitoring of performance of ML applications and tools and environments (Grafana, Prometheus, Kubernetes, CI-CD, etc.).
Advanced understanding of cloud technologies (AWS and Azure).
Good understanding of technical feasibility of data-driven products and services.
Experience coordinating with various technical stakeholders (Engineers, Architects, Data Scientists) to achieve a common goal.
Strong ability to self-organize, take ownership of topics and drive them to delivery together with others team members.
Experience in monitoring data drift in a running ML system.
Insurance knowledge and additional languages are a plus.

You have

Communication Skills
Collaboration & Teamwork
Problem-Solving
Time Management & Prioritization
Business Acume
Curiosity & Continuous Learning
Presentation Skills

What we offer

We support your well-being

We foster an inclusive and healthy workplace with a flexible hybrid working model:

Experience access to counseling services, mental health resources, and well-being sessions designed to keep you feeling your best
Enjoy a monthly budget via the Benefit platform, for personalized benefits packages, including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts, and many more.
Prioritize what truly matters with time off for your birthday, extra days off for each year in Allianz (up to 5), days off for legal holidays that fall on weekends, as well as 24th and 31st of December, plus special allowances to support diverse life events.

We invest in your growth

Benefit from an extensive learning curriculum designed to support your career advancement and meet your professional needs, with access to technical and soft-skills trainings, international certifications (Agile, Lean Six Sigma, Prince, ITIL, IFOA, ACCA, IACCM and more), learning resources from LinkedIn and Allianz platforms, opportunities to advance your languages skills(German, French, English) and elevate with our leadership Program.

We value you and your work

We acknowledge and recognize your work through performance based-rewards to celebrate your achievements, team and individual recognition programs to celebrate your contributions and internal referral bonuses.

Your personal information, including sensitive data, may be shared with Hiring Managers to assess your suitability as a candidate. Only suitable candidates will be contacted, and all applications are confidential. Allianz Group, a trusted global insurance and asset management company, values employee ambitions and challenges, fostering an empowering environment. We are committed to diversity and inclusion, welcoming applications from all backgrounds, regardless of ethnicity, age, gender, nationality, religion, disability, or sexual orientation. Allianz is an equal opportunity employer, encouraging you to bring your whole self to work.

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