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Lead a data engineering team to build and scale AI-driven pipelines for a fintech startup, using GCP, Python, and LLM-based enrichment to analyze financial data.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Builds and optimizes data pipelines on GCP, focusing on BigQuery and Terraform, using Python for automation and CI/CD in a hybrid role.
Build and optimize data pipelines, warehouses, and analytics platforms for an insurtech company using Python, Spark, Kafka, and AWS.
Build and tune ML models and rules to detect real-time fraud in device and behavioural telemetry, balancing false positives against genuine user access in financial and government services.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
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.
Senior Data Engineer builds and maintains GCP-based batch and real-time pipelines (Kafka, BigQuery, Airflow) for analytics, reporting, and AI/ML use cases in a regulated fintech.
About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing…
Senior Applied Data Scientist designs scalable data infrastructure and feature pipelines for AI models in Keysight’s test, measurement, and design workflows, using Python, SQL, Spark, and Snowflake.
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.
Lead a Data Engineering team at a global ad-tech DSP, building scalable pipelines, feature stores, and data-quality frameworks to power real-time bidding ML models in a high-growth mobile advertising platform.
Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
Own and scale Orderfox’s Azure platform powering AI agents that transform manufacturing data into actionable insights across CNC, injection moulding, and robotics.
Build and scale agentic AI systems at P&G’s Geneva AI Hub, designing algorithms, coaching peers, and driving real-world business impact through advanced AI techniques.
Build robust data pipelines and ML/GenAI solutions for Swiss clients, from ETL to dashboards and predictive models, using Python, SQL, Azure, and Power BI.
Build and maintain ETL/ELT pipelines, data architectures, and ML pipelines using Azure Databricks, Python, SQL, and Kafka to drive energy-sector insights and automation.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
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