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.
Maintains and improves legacy on-prem applications using AI-assisted monitoring (Dynatrace Davis) and CI/CD pipelines (Jenkins, GitHub Actions) while owning end-to-end lifecycle support.
Build and own a data-quality platform’s React UI and FastAPI backend, integrating AI services and cloud infra to deliver scalable, secure workflows for enterprise users.
Lead a team to build data pipelines, warehouses, and analytics platforms in Snowflake/AWS using Python and Airflow, enabling workforce analytics and predictive models for a global job platform.
Senior Data Engineer builds real-time observability, anomaly detection, and automated validation pipelines for device launches using Spark, Python, and SQL.
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Design and implement data quality solutions using Collibra, Python, and PL/SQL to ensure trusted enterprise data for analytics and reporting in a large multinational organization.
Design and maintain the data platform that ingests high-frequency heat pump telemetry, powers analytics, and enables AI-driven optimizations for energy efficiency and fleet diagnostics.
Build and scale a high-traffic Java backend platform using Java21, Spring Boot, RabbitMQ, Docker and AWS, integrating AI tools for testing and optimization.
Designs and builds cost-governance tooling for multi-cloud and AI infrastructure, creating dashboards and models to track and optimize cloud spend.
Designs cloud cost governance tools and automation to track spend, detect anomalies, and enforce budgets across Affirm’s multi-cloud and AI infrastructure.
Mô tả công việc: Key Responsibilities Data Engineering Pipelines Build and maintain data pipelines for Amazon SP-API, Advertising API, and other e-commerce platforms. Collect and process product reviews, sales,…
Own and operate Kubernetes infrastructure, CI/CD pipelines, and observability for a generative-media AI platform, ensuring high availability and reliability at scale.
Build and maintain data pipelines and models that power Midas’s investing platform, ensuring accurate, real-time analytics for 3.5M users and enabling data-driven decisions across the company.
Build and deploy ML models for anomaly detection, forecasting, and classification in aerospace systems using Python/MATLAB and PyTorch/Keras.
Engineer AI and data analytics models for industrial IoT devices, building predictive systems and digital twins from sensor data using Python, ML frameworks, and cloud/edge tools.
Senior AI & Data Engineer builds predictive maintenance and anomaly detection systems for energy/industrial environments using AI and data pipelines.
Build AI and data systems for energy infrastructure, focusing on predictive maintenance, anomaly detection, and energy forecasting using Python, Databricks, and cloud-native tooling.
Build and optimize large-scale data pipelines with Apache Spark and Azure, then apply ML models for forecasting and anomaly detection in enterprise domains.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
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