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.
Build AI-powered full stack apps for food & beverage supply chains, integrating ML models into production systems and user interfaces using Python, React, and cloud-native tools.
Build and optimize geospatial data systems for marine charting, using C++ and SQL to manage complex datasets and APIs for global hydrographic clients.
Own TikTok’s AI data annotation platform’s infrastructure, defining pipelines and governance to scale labeling operations while ensuring data quality and compliance.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
emagine Polska is seeking a data engineering specialist to design, build and maintain data ingestion pipelines on Snowflake using SnapLogic, focusing on onboarding data sources for analytics and reporting in the Animal…
emagine Polska is seeking a data engineer to design, build, and maintain data ingestion pipelines on Snowflake using SnapLogic, focusing on onboarding data sources for analytics and reporting in the Animal Health…
Rate and Location Rate: max 160 pln/h netto + VAT, B2B Location: remote Summary Summary: This role involves designing, building, and maintaining data ingestion pipelines on the Snowflake platform using SnapLogic,…
Designs and maintains AWS-based data pipelines for SAP integration and ETL workflows using AWS Glue, ensuring data quality with DataOps practices.
Design and deploy AI data pipelines that clean, validate, and guard raw data for reliable LLM and retrieval systems in a global digital-marketing agency.
Design and build AWS-based data pipelines, integrate SAP data, and maintain ETL/ELT workflows using AWS Glue and Python/SQL.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Designs and builds cloud-native data pipelines on GCP to support analytics and AI workloads, focusing on scalable ETL, data ingestion, and modeling.
Build and scale Ramp’s growth platform backend, including data ingestion pipelines, AI-driven unstructured data processing, and internal experimentation tools to drive user acquisition and engagement.
Build real-time data applications and libraries on Flow’s distributed platform using Python, Node, or JavaScript, contributing to core services and APIs.
Build and optimize graph-based knowledge structures using Neo4j to power an AI-driven retrieval system in a collaborative startup team.
Lead ML engineering for edge AI that monitors vehicle health in real time, building pipelines to train and deploy models on constrained in-vehicle devices.
Build and run secure AWS and Azure cloud platforms for a public-sector digital evidence system using IaC, networking, IAM, APIs, and DevOps tooling.
Lead edge AI development for in-vehicle health monitoring and prediction, optimizing ML models for embedded hardware and deploying them on resource-constrained devices.
We couldn't check your fit for this role — add a CV to your profile to see it next time.