科技職缺
職缺列表
Software Development Engineer, System Analytics & Intelligence (SAIL)
Hands-on software engineer building the backend and data infrastructure behind Apple's SAIL analytics platform, designing large-scale data pipelines, services, and APIs that turn Core OS development workflow signals into organizational insights.
Security Engineer - Secure Development
Security engineer and primary AppSec lead for an MSP — establishes secure development standards, performs code/SCA reviews, integrates SAST/DAST into CI/CD, and reviews AI models and pipelines for security risks before customer delivery.
Sr. Data Engineer
Remote Senior Data Engineer at NinjaHoldings (consumer-finance fintech) building and optimizing data pipelines and an ML platform using Python, SQL, and AWS. Day-to-day work spans ETL/data architecture, extending ML tooling for analysts, and supervising junior data engineers.
Senior ML Platform Engineer
Builds and scales ML infrastructure for Whisker Labs' Ting smart-home fire-prevention sensor, owning training frameworks, high-frequency data pipelines, dashboards, and model-monitoring tooling on Python, Linux, and AWS.
Technical Project Manager
Lead Agile delivery of Zaloni's data management platform, Arena, managing multiple Scrum teams, project schedules, and customer relationships from sprint planning through commercial launch.
Senior Marketing & eCommerce Analyst
Job Title Senior Marketing & eCommerce Analyst Location(s) Poland - Remote (Home Based) About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians…
Java Developer with Spark Experience
Senior Java/Spark Developer designing and optimizing large-scale data pipelines using Java, Kotlin, Scala, and Apache Spark on AWS; remote within the US with US citizenship required for security clearance.
Senior Data Scientist
Senior Data Scientist building analytics, ML models (churn, LTV, recommendations), and data pipelines for a casino/iGaming games ecosystem. Partners with CRM, Data Engineering, and product teams; stack spans Python/R, SQL, ML, and cloud (AWS/GCP/Azure).