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Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and platforms using Databricks, Spark, Delta Lake, and Azure to support analytics and Anti Financial Crime solutions for global PwC clients.
Senior Analytics Engineer
Designs and builds data pipelines and analytics for crypto products, creating dashboards and automating reports to surface business insights and anomalies.
Campus Trading Team Software Engineer (Intern)
Build and optimize high-performance trading systems in C++/Python, working with engineers to deploy production-grade data pipelines and tools that power global financial markets.
Software Engineer 2 - Spark/MapReduce/SQL/NoSQL/Pandas/Numpy/SciPy
Develops and maintains high-performance cloud-based analytics solutions using Spark, MapReduce, SQL/NoSQL, and Python data libraries to process large data volumes for U.S. government clients.
Senior ML Engineer: Cloud-Native AI & Data Science Leader
Senior ML Engineer at Stafide in Amsterdam builds and deploys cloud-native AI models and data pipelines using Python, SQL, and ML libraries to drive enterprise decision-making.
Desenvolvedor de Software Sênior (ML Engineer)
Senior ML Engineer at SiDi in Manaus to develop and optimize ML models for edge devices (mobile, embedded) using TensorFlow Lite, PyTorch, and MLOps pipelines.
Senior Backend Developer (Python, Django)
Senior Python/Django backend engineer building digital products for a large government-sector customer, including portals, BI, marketplaces, CRM, and AI agents.
AI & Data Science Sr. Manager
Lead AI and data-science teams to build predictive models and analytics for supply-chain, logistics, and smart-manufacturing using Python, cloud, and ML.
Automation Engineer: AI-Driven Web Scraping & Backend
Build and optimize Python-based web scraping and automation workflows using Playwright, Selenium, and Pandas to monitor retailer and product data, while integrating with PHP backends and Vue/React frontends.
AI/ML Engineer, Computer Vision
Build and deploy computer-vision models on Azure, curating datasets, optimizing pipelines, and monitoring performance to power AI-driven business insights.
Senior Data Scientist, NZ
Build predictive systems and data pipelines for a global auto-parts platform, using Python, scikit-learn, PyTorch, and cloud tools to improve part-matching and supply-chain efficiency.
Senior Data Scientist
Senior data scientist builds and deploys ML models and experiments to optimize lending decisions and cash-flow workflows, using SQL, dbt, and Python tooling in a fintech setting.
Data Engineer
Designs and maintains data pipelines and infrastructure using Azure Databricks, Python, and Spark to support analytics and ML models for a global logistics company.
Fullstack Developer- Python
Builds React frontend components and Python backend services, including DevOps infrastructure, using TypeScript, Python, SQL, and cloud-native tools.
Middle/Senior Data Scientist (Транзакционный банкинг B2C)
Build and deploy ML models for B2C credit-card products: propensity scoring, NLP on customer chats/reviews, credit-limit management, and churn prediction.
Director of Machine Learning
Lead a team building AI-native readiness intelligence for defense, focusing on agentic workflows, composable AI agents, and scalable ML systems for mission-critical data.
Data Analyst - GCP
Data Analyst role focused on transforming data into insights using Google Cloud Platform (GCP), particularly BigQuery, SQL, and Python, to build dashboards and support business decisions.
Data Engineer Senior/Lead (M/F)
Lead a team to design and build end-to-end data pipelines and cloud-native warehouses using Microsoft Fabric, Azure Synapse, and Python, ensuring performance, lineage, and cost efficiency.
Senior Data Engineer (AWS)
Senior Data Engineer builds and optimizes scalable AWS data pipelines using Python, SQL, and services like Lambda, S3, and Step Functions to support high-performance analytics platforms.
Senior AWS Data Engineer
Build and maintain cloud-native data pipelines and platforms on AWS, using Python, SQL, and services like S3, Lambda, and RDS to enable scalable, reliable data-driven decision making.