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.
Leads a team building scalable data pipelines and infrastructure to optimize the Dutch electricity grid for the energy transition using Python, SQL, AWS, Kubernetes and MLOps tools.
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Design and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and tools like Airflow and ClickHouse.
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
Builds and improves Databricks’ full-stack SaaS products, focusing on modern UI/UX and scalable data/AI infrastructure for enterprise customers.
Builds modern SaaS data/AI tools using React, Node.js, Python, and cloud infra to deliver delightful UX for SQL analytics, workflows, and developer ecosystems.
Build and scale AWS-based infrastructure and backend services using FastAPI, MongoDB, and Kubernetes to power AI-driven agriculture solutions.
Design and build scalable Python services and analytical apps for energy and trading, using FastAPI, Airflow, PostgreSQL, and Kubernetes.
Build and deploy scalable Python services for energy-trading platforms using FastAPI, PostgreSQL, Airflow, and Kubernetes in a fast-paced product team.
Lead a team building AI-powered data and ML systems for eBay sellers, including pricing intelligence, demand recommendations, and seller analytics using Java/Kotlin, Python, Spark/Scala, and LLMs.
Builds and scales Databricks’ core data and AI infrastructure, focusing on distributed systems, log analytics, AI/BI, or app platforms in Vancouver.
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Build and deploy generative AI systems (chatbots, image generation) using Python, NLP models (BERT, GPT), and computer vision techniques for business solutions.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Build, optimize, and integrate AI models (CV/NLP) into banking systems using Python, TensorFlow/PyTorch, and MLOps pipelines.
Build and scale production-grade LLM applications and AI systems for enterprises, owning architecture, data pipelines, deployment, and MLOps with Python, PyTorch/TensorFlow, and cloud-native tools.
Build and deploy production-grade LLM applications and agentic systems for enterprise clients using Python, PyTorch/TensorFlow, and MLOps tooling.
Build and evolve backend services in C#/.NET, collaborate on React frontends, and help scale the platform on GCP for a startup marketplace.
We couldn't check your fit for this role — add a CV to your profile to see it next time.