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Data Science & Engineering Analyst con discapacidad
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Senior AI Engineer / Data (Document AI), Madrid
Build and deploy AI-powered document processing systems using Python, NLP, OCR, and LLMOps in a production Kubernetes environment.
(Senior) AI Engineer - Data & AI Organisation (all genders)
Build and scale AI systems, including LLM pipelines and agentic workflows, to deliver data-driven solutions for Merck’s business functions like Finance, HR, and Procurement.
DATA / AI ENGINEER
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.
Data Analyst / Data Engineer (Commercial Insurance)
Analyze commercial insurance data and build pipelines to deliver insights and dashboards that guide business decisions using SQL, Python, and cloud tools like Azure and Databricks.
Senior Data Engineer - Cloud AWS | ML & NLP Pipelines
Designs and builds scalable AWS cloud data platforms, ETL pipelines, and ML/NLP solutions while ensuring security, compliance, and CI/CD best practices.
Insurance AI Scientist & Data Engineer
Design and deploy ML models and LLM-based solutions for an insurer, build robust data pipelines in AWS SageMaker, and translate insights for stakeholders.
Data Engineer – Clinical Trials
Build and maintain scalable data pipelines and ML systems for clinical trials, turning raw data into production-grade solutions that support trial design, patient recruitment, and real-time monitoring.
Remote Data Engineer: AWS Data Platform & ML Pipelines
Build and optimize AWS-based data platforms, ETL pipelines, and ML deployment workflows in a collaborative, English-speaking team.
Data Engineer MLE
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Data Engineer
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Data Engineer
Design and build scalable cloud data platforms on AWS using Infrastructure as Code, ETL pipelines, and CI/CD to deploy ML models and extract insights from structured and unstructured data.
Data Engineer
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Data Engineer
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Data Engineer
Designs and builds scalable cloud data platforms on AWS using Infrastructure as Code, ETL pipelines, and CI/CD to deploy ML models and deliver data-driven insights.
Full Stack AI Engineer
Full-Stack AI Engineer builds and maintains Typewiser, Indeep AI’s document-intelligence platform, integrating LLM pipelines, backend services, and frontend features while ensuring reliability and performance.
Software Engineer (Full-stack)
Build and scale AI-powered developer tools using Python and React, maintaining Kapa’s RAG engine, analytics platform, and client integrations.
SENIOR BACKEND DEVELOPER Madrid
Senior backend developer building scalable Python Django APIs and infrastructure for AI-driven conversational platforms, optimizing databases and ensuring secure, high-performance systems.