Senior Analyst-Automation

What You Bring

Degree in Computer Science or related field
4 to 7 years of working experience as a software developer in AI-focused cloud/container application development.
A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles
Sound experience in cloud native development
Strong coding development and debugging skills, including hands-on experience with Java, JavaScript, GoLang and Python.
Hands-on experience in developing REST APIs using frameworks such as Flask, FastAPI etc.

Strong background with Java or JavaScript/TypeScript development building scalable APIs using Spring Boot, Node. js, Knowledge of Angular/React/Vue. js

Strong background in machine learning and deep learning algorithms . - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models.

Generative AI frameworks - Langchain, LlamaIndex,

Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow, Langflow, Langraph

Deep understanding of transformer architectures and diffusion models

Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems.
Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy

Hands-on experience with frontend frameworks (React, Angular, Vue) and backend technologies (Node. js, Django, Flask).

Cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).

Strong understanding of database technologies (SQL, NoSQL, vector databases, Graph databases).
Knowledge of prompt engineering, fine-tuning, and embeddings for AI applications.
Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker.
Prior experience deploying AI-driven applications in production environments.
Experience working with message queues such as Kafka and a clear understanding of pub-sub systems is bonus

Key Responsibilities

Generative AI Development
- Research, fine-tune, and deploy generative AI & LLM models for specific use cases.
- Design and implement solutions for text generation, image synthesis, conversational AI, and more.
- Optimize AI models for performance, scalability, and real-time applications.

Backend Development
- Build robust APIs and microservices to integrate AI models into web and mobile applications.
- Develop efficient data pipelines for model training and inference.

Work with databases (SQL/NoSQL) Vector DB/Graph DB to handle structured and unstructured data
- Ensure backend systems are secure, scalable, and capable of handling AI workloads.

Frontend Development
- Create intuitive user interfaces for applications powered by generative AI/ AI
- Collaborate with designers to bring AI-driven user experiences to life using frameworks like React, Angular, or Vue.
- Implement dynamic visualizations or outputs generated by AI models.

Cloud and Deployment
- Deploy AI models and full-stack applications on cloud platforms (AWS, Azure).
- Implement MLOps practices for model lifecycle management, monitoring, and retraining.
- Use containerization and orchestration tools (Docker, Kubernetes) to ensure scalability and reliability.

63475 | IT & Tech Engineering | Professional | Allianz Technology | Full-Time | Permanent
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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

Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13, 000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry.

D&I statement

Join us. Let s care for tomorrow.

You. IT