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Director- Applied AI & Machine Learning (SME)
Senior client-facing leadership role shaping and delivering AI/ML solutions on the Microsoft Azure platform, combining strategic consulting, solution architecture, pre-sales, and hands-on technical expertise across Azure AI and data technologies.
Machine Learning Engineer - Emirati national
Machine Learning Engineer leading the full lifecycle of ML models (LLMs, predictive models) from research to production, using Python, TensorFlow, and PyTorch in Abu Dhabi.
Technical Architect - Marketing Technology (Martech)
Leads technical architecture and implementation of enterprise marketing automation solutions, designing integrations between marketing platforms and enterprise systems using technologies like Adobe, Salesforce Marketing Cloud, and cloud platforms (AWS/Azure).
Lead Data Engineer - Fabric
Lead Data Engineer responsible for designing, developing, and managing modern data platforms using Microsoft Fabric. The role involves building ETL/ELT pipelines, implementing Lakehouse structures, ensuring data governance, and mentoring junior engineers.
Sr. BI Developer
Senior Power BI Developer designing, developing, and optimizing enterprise BI dashboards using Power BI, DAX, and data modeling; integrating SQL, Azure, and other data sources to deliver data-driven insights.
Fabric Architect
MS Fabric Architect responsible for strategic solution architecting, data architecture design, and migration of enterprise data environments to Microsoft Fabric. Core technologies include MS Fabric, SQL, Python, and PySpark for large-scale data processing and integration.
Machine Learning Engineer
Machine Learning Engineer at a Fintech company developing ML models for credit decisions, customer service automation, and fraud prevention using Python, SQL, and cloud infrastructure.
Web QA
QA engineer validating visualization and GIS web applications within Agile teams, using Azure DevOps, JIRA, and test automation frameworks.
Practice Lead, Cloud and Data Analytics
Lead a cloud and data analytics practice, building AI-driven solutions with Microsoft Azure and Fabric to modernize data pipelines and drive business decisions.
Sr. Data Engineer
Designs and maintains scalable data pipelines and ETL processes using PySpark, SQL, and Python, with a focus on Azure Databricks for large-scale data processing and ensuring data quality and performance.
Full Stack Engineer | Python & React | Hybrid Madrid - madrid
Build AI-driven web apps end-to-end using Python (FastAPI/Flask/Django) on the backend and React on the frontend, collaborating with product and UX teams.
Data Engineer - Marketing & Communication - barcelona
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer - Snowflake / Portfolio Suitability Programme
Data Engineer working on a Portfolio Suitability Programme in wealth management, designing scalable data solutions, building pipelines, and developing data models using Snowflake, Cortex AI, and Dbt.
Software Engineer II
Builds and scales AI platforms and services that power Microsoft’s products, focusing on training, deployment, and optimization of machine learning models at enterprise scale.
Cloud Data Engineer (Snowflake/Databricks)
Designs and optimizes cloud-based data pipelines using Snowflake/Databricks to process, transform, and model large-scale data for analytics and BI teams.
Senior Data Engineer (Contract, Full-Time) [HR208]
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Lead PLC Software Developer
Lead the development of PLC software for a rail microgrid that autonomously charges battery locomotives, integrating energy assets like solar, BESS, and chargers using CODESYS and IEC 61131-3.
Senior AI Software Engineer RFP-259334-1
Senior AI Software Engineer to lead development of AI solutions, working with product managers and engineers to implement Generative AI, machine learning models, and NLP technologies in a newly created startup team.