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.
Du sollteste bei uns anfangen, weil wir: Sehr familiär und locker miteinander umgehen Umfangreiches Fortbildungspotential bieten (Wechselnde Projekte, enge Technologiepartnerschaft mit Azure & Databricks,…
Builds and maintains the infrastructure for AI-native email triage systems, focusing on model training, deployment, inference, and observability to ensure scalable, low-latency AI workflows.
Machine Learning Engineer (hybrid, Warsaw) building production-grade Python ML applications, MLOps pipelines on GCP/Azure, model-serving systems, and GenAI/LLM deployments for Harvey Nash Technology's clients.
The DevOps Engineer will design, deploy, and maintain infrastructure for scalable AI inference workloads, focusing on Kubernetes, GPU scheduling, and monitoring. The role involves collaborating with ML engineers to build robust CI/CD pipelines and observability tools for on-premises environments.
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
Leads AI product development for enterprise customers, managing technical programs for Gemini Enterprise Agent Platform and model deployment, bridging engineering, product, and leadership teams to define roadmaps and drive releases.
The Enterprise Architect will design and deliver IGO's target IT operating model, focusing on infrastructure as code, automation, and AI-integrated systems. This role acts as a design authority, partnering with cross-functional teams to establish architecture standards and build scalable, secure technical foundations.
Build and optimize large-scale deep learning models and data pipelines, focusing on sequence and time-series architectures, using Python, PyTorch/TensorFlow, and MLOps practices.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Junior ML engineer builds and tunes AI models for tax document automation, using Python, PyTorch/TensorFlow, and Azure AI tools in Irvine, CA.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Data Scientist at Cogeco Connexion developing predictive modeling and machine learning solutions for business problems, working with Python, SQL, and cloud platforms to improve customer acquisition, retention, and business performance.
What is the opportunity? Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Designs and optimizes large-scale LLM serving infrastructure at LinkedIn, focusing on GPU performance, cost efficiency, and latency improvements for AI models in production.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Architect end-to-end generative AI solutions (LLM training, deployment, RAG workflows) on NVIDIA hardware, working directly with customers and internal engineering teams to design and optimize large language model systems.
Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Lead the strategy and delivery of an AI platform for healthcare, building LLM/SLM-powered automation, RAG pipelines, and trustworthy AI workflows to reduce administrative burden and improve clinical decision-making.
We couldn't check your fit for this role — add a CV to your profile to see it next time.