🤖 As an AI and Machine Learning Engineer I have extensive hands-on experience in all stages of the model lifecycle management, from initial development (model training and validation) as well as in MLOps. In addition, I bring strong data engineering expertise, designing and operating scalable batch and streaming pipelines, feature stores, and lakehouse architectures with robust data quality and lineage, making sure models are powered by reliable, production-grade data. I ensure that once models reach production, they remain reliable and scalable. I also design and implement state-of-the-art monitoring systems that track performance in real time and automatically trigger retraining and redeployment when needed, so that every model continues delivering consistent, high-quality results.

Henning Gruhl

PRO

🤖 As an AI and Machine Learning Engineer I have extensive hands-on experience in all stages of the model lifecycle management, from initial development (model training and validation) as well as in MLOps. In addition, I bring strong data engineering expertise, designing and operating scalable batch and streaming pipelines, feature stores, and lakehouse architectures with robust data quality and lineage, making sure models are powered by reliable, production-grade data. I ensure that once models reach production, they remain reliable and scalable. I also design and implement state-of-the-art monitoring systems that track performance in real time and automatically trigger retraining and redeployment when needed, so that every model continues delivering consistent, high-quality results.

Available to hire

🤖 As an AI and Machine Learning Engineer I have extensive hands-on experience in all stages of the model lifecycle management, from initial development (model training and validation) as well as in MLOps. In addition, I bring strong data engineering expertise, designing and operating scalable batch and streaming pipelines, feature stores, and lakehouse architectures with robust data quality and lineage, making sure models are powered by reliable, production-grade data. I ensure that once models reach production, they remain reliable and scalable. I also design and implement state-of-the-art monitoring systems that track performance in real time and automatically trigger retraining and redeployment when needed, so that every model continues delivering consistent, high-quality results.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Spanish; Castilian
Fluent
German
Fluent
English
Fluent

Work Experience

Senior AI/Machine Learning Engineer at Reale Seguros
January 1, 2025 - Present
Led end-to-end MLOps development including orchestration of model training and deployment using Databricks, CICD, and Azure ML, with drift and bias monitoring and batch and online inference. Architected and maintained modular Python libraries to standardize AI workflows, facilitating development and promoting best practices. Managed Azure cloud infrastructure, including Databricks clusters, Azure ML compute, Data Factory & Linked Services, Key Vault secrets, and enabled CI/CD pipelines.
Machine Learning Engineer at BNP Paribas
June 1, 2024 - January 1, 2025
Led the development of a Drift Monitoring Tool for ML models and datasets using WhyLogs for drift detection and OpenSearch for reports. Contributed to training and industrialization of a soft classification model for detecting unauthorized data exfiltration. Designed and developed a Git Monitoring Tool using asyncio and aiohttp, achieving an 80% speedup in data extraction and processing.
AI and Data Engineer at Telefónica
December 31, 2023 - July 29, 2025
Deployed OpenSource Large Language Models on AWS SageMaker and built a Retrieval-Augmented Generation (RAG) app with LangChain. Integrated LLM with AWS Lambda and Amazon Lex, optimizing interactions. Integrated Elasticsearch with microservices architecture and built interactive dashboards for major clients such as Lanxess and Aldi to support strategic decisions.
Senior AI/Machine Learning Engineer at Reale Seguros
January 1, 2025 - Present
Led end-to-end MLOps development including orchestrating model training and deployment using Databricks, CICD, and Azure ML. Responsibilities included drift and bias monitoring, batch and online inference, and managing cloud infrastructure and security on Azure. Architected and maintained modular Python AI engineering frameworks to standardize workflows and support data scientists.
Machine Learning Engineer at BNP Paribas
January 1, 2025 - August 4, 2025
Led the development of a Drift Monitoring Tool for ML models and datasets with automated testing and real-time dashboards. Contributed to training and industrialization of a data leakage protection classification model to enhance security compliance. Developed a Git Monitoring Tool using asyncio and aiohttp improving data extraction speed by 80%.
AI and Data Engineer at Telefónica
April 1, 2023 - January 1, 2024
Deployed OpenSource Large Language Models on AWS SageMaker and built a Retrieval-Augmented Generation app with LangChain for querying codebase documentation. Developed serverless solutions with AWS Lambda integrating LLM with Amazon Lex. Integrated Elasticsearch with microservices and built interactive Kibana dashboards for major clients to aid strategic decisions.

Education

Bachelor of Computer Science and Artificial Intelligence at IE University Madrid, Spain
September 1, 2020 - June 30, 2024
MSc in Mathematics (Quantitative Finance) at Universidad de Alcalá Madrid
November 1, 2024 - October 31, 2025
Bachelor of Computer Science and Artificial Intelligence at IE University Madrid
September 1, 2020 - June 30, 2024

Qualifications

Certificate of Proficiency in English (C2)
June 1, 2019 - June 30, 2019

Industry Experience

Financial Services, Telecommunications, Software & Internet, Professional Services