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.
Designs and maintains AI-driven data pipelines and MLOps infrastructure using Python and big data tech on AWS/Azure.
Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Build and maintain Python-based data analytics and MLops platforms on Kubernetes for Canonical’s open-source cloud solutions.
Build and deploy ML models end-to-end, focusing on LLMs, data pipelines, and MLOps for client projects using Python and scalable infrastructure.
Build and run Linqia’s AWS-based, Kubernetes-powered influencer marketing platform, automating deployments with Terraform, Jenkins, and GitOps while optimizing cloud costs and reliability.
Build and maintain scalable data pipelines and backend services using Python, PySpark, and AWS to power WinDifferent's marketing automation platform.
Build and optimize the MLOps and data platform that powers automated lending decisions using Spark and scalable infrastructure.
Builds and scales AI solutions, implements MLOps pipelines, and advises clients on AI strategy using Microsoft Power Platform and Azure AI Services.
We are looking for a Senior ML / AI Data Engineer to join an innovative team delivering advanced AI and data-driven solutions. This is a fully onsite role in Amsterdam for a Dutch-speaking professional. What You’ll…
Build and optimize a Databricks-based data and ML platform that powers automated lending, credit risk scoring, and transaction categorization for a fintech startup.
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
Build and maintain the data pipelines and AI infrastructure that turn employee feedback into actionable insights for HR teams worldwide.
Build and maintain self-governing AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
Build and scale secure, efficient data platforms in Azure using Databricks and Kubernetes, design medallion architectures, and implement PySpark/SQL pipelines for government AI initiatives.
Build and maintain the data pipelines and AI infrastructure that turn employee feedback into actionable insights for HR teams worldwide, using cloud-native tools and MLOps practices.
Build and maintain AI-powered data pipelines and infrastructure for document automation, deploying LLM agents and ensuring scalable, reliable AI systems in production.
Staff Data Engineer designs and owns Vandebron’s lakehouse, warehouse, and MLOps platform, setting engineering standards and driving scalable data infrastructure for green-energy analytics.
Lead the design and scaling of a lakehouse architecture and MLOps pipeline for Vandebron’s data platform, mentoring engineers and enforcing data governance.
Build and maintain ML pipelines, integrate LLMs, and deploy models using MLOps on Databricks for an Amsterdam-based AI/data engineering firm.
We couldn't check your fit for this role — add a CV to your profile to see it next time.