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Build ML models for B2C banking: propensity scoring, NLP on client feedback, credit-limit management, and churn prediction, then ship production-ready code via MLOps pipelines.
Senior QA Engineer designs and automates tests for AI/LLM systems on Azure, building Python frameworks and CI/CD pipelines to validate reliability, correctness, and safety of GenAI deployments.
Lead end-to-end ML/AI projects for IoT and smart city analytics, building predictive models from sensor data to optimize urban infrastructure and mobility systems.
Builds and maintains data pipelines using Python, SQL, and cloud tools like AWS or Databricks to move and integrate data at scale.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Data Analyst & QA Engineer builds and tests data pipelines, profiles datasets, and turns validated data into clear insights for life-sciences projects using Python, SQL, and Power BI.
Build and deploy machine-learning models using Python, Scikit-learn, PySpark, and Databricks for clients in IT consulting and pharma.
Build and deploy ML models, LLMs, and AI agents using Python, MLOps, and cloud platforms (Azure/AWS) for enterprise clients.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW systems, focusing on ETL pipelines, data modeling, and Power BI reporting.
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.
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.
Build and maintain scalable data pipelines and Python software to transform climate science into production-ready datasets and APIs, collaborating with climate scientists to deliver risk products.
Build and maintain internal .NET/C# apps, SQL Server databases, and Azure infrastructure, plus Python ETL pipelines and Power BI dashboards for a pharmaceutical company in Madrid.
Build and deploy scalable data-labeling solutions for AI models, working with customers and translating needs into technical configurations using Python.
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Senior Azure Data Engineer designs, builds, and optimizes scalable data pipelines in Microsoft Azure and Fabric, from ingestion to insights, using Synapse, Databricks, and KQL.
Build and maintain a modern data platform in AWS/Snowflake using Python, SQL, Airflow/dbt, and Terraform to power analytics and reporting for a crypto/fintech platform.
Build and maintain scalable data pipelines and ML algorithms using Python, Spark, Kafka, and SQL to deliver business insights and drive digital transformation.
Build and maintain an insurance-focused data warehouse, automate ETL pipelines, and create Power BI dashboards to track claims, conversion, and retention KPIs.
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
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