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 a versioned, reproducible scoring engine in Python that transforms healthcare metrics into deterministic rankings using typed computation graphs and declarative business logic.
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.
About Euka Euka Future Learning is Australia's leading home education platform, delivering K-12 curriculum to thousands of families across the country. Our engineering team builds the systems that power enrolments,…
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Build and maintain high-volume data pipelines using Redshift, Spark, and Airflow to power Ookla’s internet performance analytics for analysts and data scientists.
Build and scale Matterworks' data platform pipelines, turning raw biochemical signals into validated datasets for ML research and product use.
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Data Engineer – Enterprise Data Platforms & AI-Driven Engineering We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have…
Build and own the end-to-end data stack—ingestion, modeling, and BI—using dlt, dbt, BigQuery, and Lightdash to power analytics and future embedded features.
At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free…
Build scalable data pipelines and infrastructure for early-stage startups in AI, cybersecurity, healthtech, fintech, and devtools, enabling trusted data products and analytics.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Lead the post-sales integration lifecycle for an AI-first CRM in higher education, owning scoping, architecture, build, and maintenance of SIS/LMS integrations while scaling custom work into productized capabilities.
Senior Data Engineer builds and maintains AI-ready data pipelines and platforms for a global real-estate operator, enabling analytics and LLM integrations across property, financial, and IoT data sources.
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Build and maintain Cityblock’s data pipelines, semantic layer, and reverse-ETL systems on BigQuery and Dagster to power trustworthy analytics and AI-driven care decisions for Medicaid beneficiaries.
Why YOU want this position At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
