Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
About Data Reply As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our…
Build and maintain the data backbone for autonomous factories, integrating machine signals, quality events, and operational data into reliable datasets for ML, analytics, and scheduling using Python, SQL, Kafka, Snowflake, and Dagster.
Designs and leads TradingView’s enterprise data architecture, including real-time financial data pipelines, data lakes, and AI-ready infrastructure while mentoring engineers and setting data governance standards.
Design and build enterprise data warehouses, ETL/ELT pipelines, and BI dashboards for a global SaaS provider, ensuring clean, governed data across finance and supply-chain domains.
Build cloud services that collect, process, and expose energy-monitoring data and controls for SPAN’s hardware products, using Kotlin/TypeScript, gRPC/REST/GraphQL, Kafka, and Kubernetes.
Principal engineer leading architecture and development of a globally distributed AI and data platform for Microsoft’s real-time communication services, using Azure, Kubernetes, and open-source tools.
Build and scale Patreon’s data pipelines and streaming platforms (Kafka, Spark, Airflow) to power real-time features, analytics, and ML systems for creators and fans.
Обязанности: - Разрабатывать сервисы потокового (real-time) расчета признаков (фичей) для моделей машинного обучения; - Разрабатывать сервисы векторизации - вычисление embedding-векторов и сохранение в векторном…
Build real-time feature pipelines and embeddings for ML models using Spark/Flink and Kafka, then serve them to data scientists.
Build and deploy generative-AI models to improve real-time bot and fraud detection for a cybersecurity platform handling 8B+ daily requests.
Build and own production-grade infrastructure for real-time ML systems, feature serving, and decisioning at Europe’s largest savings platform, using Kubernetes and distributed systems.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
Lead the build of a cloud-scale data platform for a global fintech firm, turning terabytes of trading and product data into reliable, analytics-ready pipelines and AI-ready warehouses using AWS, Python, and modern ETL/ELT tooling.
DevOps engineer builds and maintains CI/CD pipelines and Kubernetes clusters for a top-3 bank’s new data cloud platform, automating builds, deployments, and infrastructure.
Lead a team of data scientists and ML engineers to build AI models that turn phone-sensor driving data into fairer insurance pricing, crash detection, and driver coaching using on-device and cloud ML.
Lead a team building scalable data pipelines and real-time analytics for Target’s finance systems using Hadoop, PySpark, Scala/Java, and cloud platforms.
Build and optimize data pipelines, DWH, and lakehouse architecture using Airflow, Spark, and Python; integrate APIs, S3, and Kafka; ensure data quality and reliability.
Build and optimize large-scale data pipelines and analytics platforms for Target’s finance systems using PySpark, Hadoop, and cloud services.
Builds and maintains scalable data platforms for PlayStation, handling ETL/ELT pipelines, analytics, and unstructured data (audio/video/text) to enable real-time insights and user experiences.
Data Architectures Section Manager Location: Chantilly, VA Time Type: Full time Job Description The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
