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Build and harden the SRE and infrastructure foundations for a physical-AI platform that orchestrates high-volume data pipelines, ML training/inference, and web apps on AWS and Kubernetes.
Build and harden the DevOps infrastructure for a physical-AI platform that orchestrates high-volume ML pipelines on AWS and Kubernetes, adding observability, reliability, and CI/CD guardrails.
Design and build cloud data platforms for a global payments company, using GCP, Snowflake, Python, and SQL to power analytics and decision-making across the enterprise.
Lead marketing analytics for a pan-European car marketplace, integrating data from multiple brands and acquisitions, building dashboards, and optimizing ad spend across Google, Meta, and MMPs.
Build and maintain marketing data pipelines and tracking systems using Python, SQL, and Google Tag Manager to support ads and analytics across BigQuery, ClickHouse, and external platforms.
"ПМХ-ИНФОТЕХ» - аккредитованная IT компания, которая разрабатывает, внедряет, адаптирует и сопровождает корпоративные информационные системы, специализированные IT-решения и развитие информационной инфраструктуры…
Design and lead enterprise-scale cloud data platforms, pipelines, and models for Mattel’s global retail and media operations, ensuring analytics-ready datasets and governance.
Build and maintain financial data pipelines using SQL and dbt to automate reporting and reconciliation, ensuring accuracy and enabling data-driven decisions for a cybersecurity product company.
Build full-stack SEO and AEO features to improve Instacart’s search rankings and organic traffic, including data pipelines and experimentation systems.
Design and build scalable cloud data pipelines in BigQuery, Python, SQL, and DBT to integrate enterprise systems into a centralized warehouse, ensuring high-quality, analytics-ready datasets for Mattel’s global teams.
Lead Pattern’s data platform and architecture team, scaling distributed systems to process petabyte-scale datasets and hundreds of billions of events while driving a self-service, open-source environment to boost developer velocity.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
Build and optimize scalable microservices on OpenShift/Kubernetes for logistics simulation and AI-driven routing, integrating ML models and data pipelines to enhance predictive capabilities.
Immediate need for a talented SRE – ML focus. This is a 06+months contract opportunity with long-term potential and is located in Austin,TX / Sunnyvale, CA(Remote). Please review the job description below and contact…
Lead the architecture and scaling of Foodsmart’s data platform, owning pipelines, dbt, and warehouse infrastructure to deliver reliable, HIPAA-compliant analytics and AI insights for 2.2M members.
Build and maintain marketing data pipelines in BigQuery, dbt, and Airflow to power performance reporting and optimization for Vinted’s ecommerce platform.
Build and lead the architecture of an AI-powered tax preparation platform using React, Node.js, and AWS, focusing on intelligent workflows for accounting firms.
Lead a team of data engineers and applied scientists to build scalable data infrastructure, ML models, and AI-powered features that enhance AllTrails’ trail content, maps, and member experiences.
Builds and maintains high-performance clearing infrastructure for a regulated crypto exchange, using Java, Kafka, and Aeron to automate risk management, netting, and settlement while ensuring compliance and resilience.
Own and operate a cloud-based ADAS data platform, ensuring reliable sensor-data pipelines, metadata, and ML workflows for autonomous-driving development.
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