Ofertas de empleo en Allianz España

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API Azure Cloud Coumputing Machine Learning

Join us at Allianz and become a part of a team that is making a difference in people's lives.

We're seeking individuals with a passion for artificial intelligence and a drive to deliver insights that truly help people during their toughest times.

What are you going to do at Allianz?

• Develop and Industrialize Models: Develop and industrialize end-to-end Artificial Intelligence models (e. g., CLTV, credit scoring, cross-sell) integrated into operational processes, as well as maintain and test new features or potential model improvements.
• Apply MLOps / LLMOps Methodologies: Define and apply MLOps / LLMOps methodologies and technical procedures for AI Compliance.
• Develop Traditional AI / GenAI Solutions: Design, train, and optimize traditional AI (ML) and generative AI models (e.g., GPT-3, DALL-E) to create innovative solutions for various business needs using techniques such as Prompt Engineering, Retrieval-Augmented Generation (RAG), and others.
• Collaborate Across Teams: Collaborate closely with other technical and business teams to identify opportunities for applying AI and GenAI models in the insurance and finance context.
• Contribute to Strategy: Contribute to the Data & Analytics strategy by identifying new opportunities and trends in the field of data science and generative AI.
  
  

• Experience: At least 2 years of work experience in AI positions.
• Education: Academic background in STEM disciplines (Science, Technology, Engineering, and Mathematics) with a master's or doctoral degree.
• Technical Knowledge:
  
• Knowledge of cloud technologies, especially in the Azure environment, including Azure Data Lake Storage (ADLS), Synapse Analytics, and Azure Machine Learning (AzureML).
• Experience developing ML Solutions
  
• Basic understanding of generative AI solutions includes the ability to integrate and deploy generative AI models using the OpenAI API in Azure, as well as using token processing tools like Haystack to manage and optimize token usage in these models.
• Sector Experience: Experience in the financial/insurance sector is a plus.
• Communication Skills: Excellent communication skills and ability to work in a team.
• Leadership: Ability to lead projects and supervise other team members.
• Problem- Solving: Skills in solving complex problems and results-oriented.
• Adaptability: Results-oriented and able to work in a dynamic and innovation-driven environment.