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Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines in Python and SQL for a fintech company.
Build AI and data systems for energy infrastructure, focusing on predictive maintenance, anomaly detection, and energy forecasting using Python, Databricks, and cloud-native tooling.
Build and maintain sovereign, self-hosted AI infrastructure on Italian national clouds, deploying Kubernetes clusters and MLOps toolchains while ensuring GDPR/AGID compliance.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Senior Data Analyst at KPMG Indonesia to lead data strategy, build ML-ready pipelines, and deliver insights using Python, Spark, and Azure Databricks.
Build and customize ERPNext modules, integrate AI models for manufacturing, and develop full-stack web apps with Next.js, React, and Python.
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.
About the Role You’ll work alongside experienced engineers to improve our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. You’ll…
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.
Builds and deploys open-source data and AI platforms using Python, Kubernetes, Kubeflow, and MLFlow for cloud and on-prem environments.
Builds and maintains open-source data platforms using Python and Kubernetes, focusing on analytics tools like Kubeflow and MLFlow for cloud and on-prem deployments.
Build and optimize Databricks-based data platforms and pipelines for Fortune 1000 clients, leveraging Spark, Delta Lake, and multi-cloud (AWS/Azure/GCP) to deliver scalable analytics and insights.
Senior Data Engineer builds and governs scalable data pipelines on Databricks/Azure, enabling AI and analytics across Axpo’s climate-tech platform.
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
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 run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
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