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Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
Six-month data science internship at Société Générale's Data & AI division in La Défense, building anomaly-detection and recommendation models for automated banking controls. Day to day: specify and implement use cases in the bank's datalab, back-test models, and present results using Python/PySpark and DataViz tools like PowerBI and Streamlit.
Data Engineer in Saudi Arabia who designs, builds, and optimizes Spark-based ETL/ELT pipelines on an on-premises lakehouse platform. Core stack includes Apache Spark, Apache Iceberg, MinIO, Informatica, and Denodo/Starburst/Dremio for analytics enablement, with 5-10 years of experience required.
Senior Android developer (3-5 years) building, improving, and maintaining an Android application and its SDK in an Agile team, including mentoring a junior developer. Core stack is Java, JavaScript, Ajax, jQuery with PHP and Spring frameworks, plus Git, Eclipse, and AWS services.
Senior backend engineer in Los Angeles building sophisticated Node.js RESTful JSON micro-service APIs. The current stack includes Backbone.js/Marionette, AngularJS, Gulp, Restify, MongoDB, Redis, R, and Riak, with strong software engineering fundamentals and full-lifecycle production experience emphasized.
Design and implement motion control algorithms for real-time software running on Linux and bare-metal platforms. The role centers on strong math skills with C/C++ and Matlab modeling; OOP and Java are pluses, and a math/physics/mechanical background is preferred.
Maintains and evolves the network infrastructure of 360T, one of the largest FX trading platforms, within the Infrastructure & System Administration team in Frankfurt. Day-to-day work mixes operations and long-term projects on Juniper routers, switches and firewalls, BGP routing, Linux systems and Python-based network automation, with shared on-call duties.
Software Architect at an MIT-born, venture-backed startup building an AI copilot for design and manufacturing. You lead architecture and hands-on delivery of scalable distributed systems across Python, TypeScript, gRPC, GCP, and React, while mentoring engineers and partnering with product and research teams.
ML Ops Engineer at an AI-for-manufacturing startup: builds and operates end-to-end ML pipelines (training, validation, deployment) on Google Cloud and AWS, automates CI/CD for ML artifacts, and maintains monitoring for model performance and data drift. Core stack: Python, TypeScript, Docker, Kubernetes, Terraform, GitHub Actions, Vertex AI.
Backend engineer at Koah Labs, an early-stage San Francisco startup building an ad network for AI-native products. You'll design scalable data models, real-time auction and ad-decisioning systems, and low-latency services using Ruby on Rails, PostgreSQL, ClickHouse, Kafka, Redis, and AWS/Terraform infrastructure.
Data Scientist at Koah Labs, a San Francisco ad-tech startup building an ad network for AI-native products. You'll sit within product engineering, design and analyze experiments, and apply statistical modeling to marketplace data using Python, PostgreSQL, ClickHouse, and Kafka to drive data-driven product decisions.
Platform engineer at Koah Labs, a San Francisco startup building an ad network for AI-native products. You'll design, build, and operate the infrastructure powering the adtech marketplace across Terraform/AWS, PostgreSQL/ClickHouse/Kafka, and a Rails/React/TypeScript core app.
Software Engineer - Product at Koah Labs, a San Francisco startup building an ad network for AI-native products. You'd lead full-stack initiatives—optimizing matching algorithms and building user-facing experiences—using Ruby on Rails, React/TypeScript, Python, and data infra like PostgreSQL, ClickHouse, and Kafka, working in-office.
Software developer at betzemeier automotive software in Minden, Germany, building and extending the company's SaaS product: designing user-friendly UIs, developing REST/GraphQL APIs, and evolving an event-driven (Event-Sourcing, CQRS) microservice architecture. Stack spans TypeScript/Vue.js, Node.js/Go/Python, NATS, and Docker/Kubernetes.
Principal-level data science role at an insulin-delivery (diabetes medtech) company, applying statistical modeling, machine learning, and forecasting to customer and commercial data to drive targeting, territory design, and growth planning. Core stack: Python/R, SQL, dbt, cloud data warehouses, and visualization tools. On-site 4 days/week in Northridge, CA.
Lead a software team at Reverion bridging the PLC/SPS world and cloud infrastructure for its fleet of reversible biogas/hydrogen power plants: own fleet connectivity and OTA deployments, run time-series data infrastructure (InfluxDB, ClickHouse, MQTT, Kafka), and deliver core services and monitoring, using Python, C# or Rust. Based in Eresing, Germany.
Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Classiq is a quantum computing software company. We build the platform that enterprise teams and government organizations use to develop, optimize, and deploy quantum software across any quantum hardware. We're a…
A permanent Data Engineer role in Perth, recruited by Peoplebank for one of its clients. The engineer joins a Systems team designing, building, and optimising scalable cloud data solutions for a modern enterprise data platform, with a core stack of Snowflake, dbt, and Python.
Leads a small dev team at a HubSpot Elite Solutions Partner, delivering HubSpot integrations, migrations, and custom builds while hands-on writing backend code, APIs, and data migration logic in Node.js, Python, or PHP. Fully remote, owns planning, QA, and client communication.
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