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Lead a team building generative AI and data-science solutions using Python, LLMOps, and cloud services; design multi-agent patterns, reasoning loops, and scalable microservices.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Lead AI Engineer designing and implementing generative AI and data-science solutions, including multi-agent systems, reasoning loops, and MLOps tooling in Python/Java with cloud providers.
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Build and deploy ML models and MLOps pipelines in Python for a data-driven IT services unit, working remotely with a permanent contract.
Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.
Designs, builds, and deploys scalable ML and Generative AI solutions on Azure, owning end-to-end MLOps pipelines with Python.
Designs, builds, and maintains AI-driven data pipelines and MLOps infrastructure for a content platform.
Build and deploy ML models and data pipelines, then expose them via FastAPI services in a fully remote role.
Build and deploy ML models, LLMs, and AI agents using Python, MLOps, and cloud platforms (Azure/AWS) for enterprise clients.
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
Lead the design and ownership of end-to-end data pipelines and AI platform infrastructure, mentoring junior engineers and implementing MLOps practices to deliver measurable AI solutions.
Design and deploy ML models and LLM-based solutions for an insurer, build robust data pipelines in AWS SageMaker, and translate insights for stakeholders.
Build and maintain end-to-end ML pipelines and production APIs for regulatory, clinical, and manufacturing workflows using Python, FastAPI/Flask, and MLOps practices in Madrid.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Build and maintain data pipelines and distributed systems for European clients, using Python, Spark, and cloud platforms to solve business challenges in industries like pharma, insurance, and manufacturing.
Build and optimize data pipelines, AI platforms, and ad-tech integrations for enterprise clients, using Python, Databricks, AWS, and Dataiku in hybrid roles across Madrid, Malaga, and Barcelona.
Build and maintain cloud-based data pipelines and analytics solutions on AWS using Python and SQL, integrating AI models into business-facing data systems.
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