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Build and deploy AI solutions on GCP for a global consumer-goods and retail company, using Python, BigQuery, Vertex AI, and LLMs to power customer analytics, personalization, and marketing systems.
Builds AI-driven data pipelines and predictive models for consumer CRM, loyalty, and e-commerce using Python, SQL, BigQuery, and Vertex AI.
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 ship AI-powered features for managing large datasets, including agent-driven data engineering workflows and scalable AI solutions.
Designs and builds data orchestration pipelines and AI-driven automation for a healthcare platform, integrating systems and translating business needs into technical solutions.
Lead the design and deployment of cloud-native data pipelines and AI platforms on AWS, collaborating with cross-functional teams to enable scalable, secure analytics and ML workloads.
Build scalable AWS data pipelines and generative-AI apps using Bedrock and LLM models, collaborating with cloud architects and data engineers.
Junior GCP Data/AI Engineer builds scalable data pipelines and ML models on Google Cloud, using Python, BigQuery, and Dataflow under senior guidance.
Designs and builds data architectures and backend systems for AI, integrating industrial and corporate data using Microsoft Fabric, Power BI, and REST APIs.
Lead AI and data projects, designing modern architectures and collaborating with business teams to build data-driven applications using Python, ML, GenAI, and AWS.
Lead the design and optimization of data pipelines and AI platforms on GCP, using BigQuery, Dataform, and Cloud Run to build scalable ELT workflows and maintain high-performance data products.
Junior data & AI engineer building scalable GCP-based solutions under mentorship, using Python, SQL and basic GCP services.
Build and maintain a sovereign cloud Data and AI platform using Go and Kubernetes, collaborating in an agile team to deliver innovative solutions.
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
Designs and builds AI solutions for global clients in industries like pharma and banking, working in a hybrid Barcelona office.
Build and deploy generative AI solutions, agents, and data pipelines to automate business processes and extract insights from unstructured data using Python, cloud platforms, and LLMs.
Designs and deploys cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Designs and builds cloud-native data pipelines and AI systems for Schneider Electric’s sustainability and energy-management platforms.
Lead a team to build and optimize ELT pipelines on GCP using BigQuery, Dataform, and Cloud Workflows, ensuring scalable, high-quality data flows with Python and CI/CD.
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