Senior MLOps/LLMOps & Cloud infrastructure Engineer_752 at Allianz Global Corporate & Specialty SE

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, LLMOps, Cloud Infrastructure, Machine Learning, API Development, Automation, Digitalization, Monitoring, Observability, Azure ML, AWS SageMaker, Google Cloud AI, Prometheus, Grafana, MLFlow, Kubeflow

Industry

Financial Services

Description

About the Job Allianz Technology is delivering and operating Allianz Partner’s E2E target solutions for all Lines of businesses globally such as Mobility & Assistance, Travel insurance, ticketing, banking partners, mobile devices and digital risk protection (MDDR). This covers the central “ACM B2B2C” target platform, which supports B2C, B2B, B2B2C channels. As a Senior MLOps/LLMOps & Cloud infrastructure Engineer, based in Barcelona, you will be taking part of a newly created cross-functional agile squad, focused on discovering, designing, implementing and delivering machine learning solutions, from model conception and development to building robust, scalable APIs and integrating them into enterprise production business applications, as well as contributing to world-wide rollouts, and guaranteeing Product harmonization, simplification, by embracing Digitalization & Automation at scale. What you do Oversee the complete lifecycle of ML models, from data to production, emphasizing automation and reproducibility. Optimize API performance, model accuracy (drift, F1, etc.), bias, fairness, and resource utilization using tools like Prometheus, Grafana. Implement and leverage specialized ML/LLM monitoring and observability solutions (e.g., Arize AI, Fiddler AI, WhyLabs, Langfuse) for tracing, debugging, and analytics of deployed models and LLM applications. Select, implement and manage tools and establish best practices using platforms like MLFlow, Kubeflow, Weights & Biases (W&B), DVC, and integrated cloud MLOps solutions (Azure MLOps, SageMaker MLOps, Vertex AI MLOps). This includes managing the unique aspects of LLM application lifecycles. What you bring University degree or equivalent education in Computer Science, Software Engineering, or a similar qualification. Minimum 7-10 years of work experience in digital software development. Excellent communication and leadership skills. Full proficiency in English (min. 780-TOEIC/ B2-CEFR) Extensive experience utilizing cloud-based machine learning platforms and infrastructure (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform (Vertex AI)) for development, deployment, scaling and operation of ML-powered APIs and applications. 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.

Responsibilities

Oversee the complete lifecycle of ML models, focusing on automation and reproducibility. Optimize API performance and model accuracy while implementing monitoring solutions for deployed models.