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 and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
Maintains and automates Ubuntu-based cloud infrastructure, Kubernetes clusters, and open-source tooling to ensure high availability and performance for enterprise customers.
This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire…
Drive product strategy for open-source software at Canonical, collaborating with engineering and marketing to deliver Ubuntu and related solutions across cloud, AI, IoT, and enterprise markets.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks for real-time data-driven solutions.
Builds and deploys ML models (deep learning, MLOps) for clients across industries, using Python/TensorFlow/PyTorch, Kafka, and cloud platforms like Databricks/Fabric, while collaborating with cross-functional teams to deliver scalable, real-time data-driven solutions.
Senior DevOps Engineer builds and operates Kubernetes-based infrastructure, observability platforms, and CI/CD pipelines for a proprietary trading firm’s high-performance trading systems.
Build and run Kubernetes-based infrastructure, observability, and CI/CD for a proprietary trading firm’s trading systems and crypto market-making operations.
Build and operate ML infrastructure for a Payments ML platform, focusing on pipelines, training/inference systems, and MLOps tooling to scale AI use cases in payments.
Build and run the ML platform that trains, serves, monitors, and retires models in batch and real-time on CPU/GPU, using Kubernetes, Triton, MLflow, Prometheus and CI/CD.
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights…
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Design and govern enterprise-scale AI/ML pipelines for the VA, ensuring responsible deployment of healthcare and benefits systems while aligning with federal AI policy and standards.
Build open-source AI solution blueprints and reference implementations for enterprise customers, focusing on production-grade architectures, MLOps, and secure deployments in regulated environments.
Build and deploy AI solutions for Amgen’s drug discovery and operations, integrating GenAI, RAG, agents, and MLOps in a regulated healthcare environment.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.