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.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
Build and maintain the AI and internal developer platforms, automating cloud resources, Kubernetes clusters, and CI/CD workflows for ML and dev teams using Azure, Terraform, and GitOps.
The Machine Learning & Data Operations Engineer will build and maintain ML/AI infrastructure to support drug discovery, focusing on model deployment, scalable inference, and robust data pipelines. The role involves managing the full lifecycle of models and data quality using technologies like Kubernetes, Python, Go, and various cloud-native tools.
NOTE: This is a 1-year, Fixed-Term Position. Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use…
Le Big Data est aujourd’hui au cœur de la transformation digitale des entreprises. Chez nous, il ne s’agit pas seulement de technologie, mais d’un véritable levier de création de valeur pour nos clients. Vous êtes…
Senior Data Scientist owning the full ML production lifecycle—scaling deep learning models from R&D to reliable production systems, building data/feature pipelines, and establishing MLOps standards. Core stack includes Python/Go/Java, GCP (Vertex AI, BigQuery), Docker, Kubernetes, and MLflow/Kubeflow.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Manage a team of ML engineers at a fraud detection company, driving innovation in real-time ML fraud models using the Python data stack while staying 30-40% hands-on in the codebase.
abra professional services is seeking a talented Data Engineer! We are looking for a Data Engineer to join our team and work on cutting-edge AI projects. In this role, you will be responsible for ingesting large…
Design and operate a Kubernetes control plane for GPU workloads, integrating Nvidia operators, topology-aware scheduling, and AIOps-driven remediation to run Bitdeer’s AI-operated GPU cloud.
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
An AIOps/MLOps Engineer designing and maintaining MLOps pipelines, AI/ML infrastructure on Azure, CI/CD automation, and monitoring/observability solutions while collaborating with data scientists and software engineers.
Principal Cloud Architect designs scalable cloud infrastructure, data platforms, and AI-augmented review workflows, prototypes patterns, and hands them off to engineering teams.
Platform Architect bridging ML infrastructure and SRE on GCP — you'll design and operate model serving, inference infrastructure, reproducible ML pipelines, and GitOps workflows using Terraform, Kubernetes (GKE), ArgoCD, and BigQuery.
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
Автономные технологии — компания, которая разрабатывает инновационные решения, направленные на улучшение и совершенствование робототехники и технологий машинного обучения с применением передовых технологий…
Build and maintain scalable MLOps infrastructure on AWS to automate ML model training, deployment, and monitoring for a B2B sales-intelligence platform.
The MLOps Engineer will work in a hybrid capacity in McLean, VA, to manage machine learning workflows and infrastructure. The role requires proficiency in Python, AWS, Kubernetes, and Spark to support ML tooling and pipeline development.
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
