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.
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the…
**...sind Sie mittendrin** Sie wollen, dass Ihre Modelle nicht in einer Publikation enden, sondern in der Klinik ankommen? Dann sind Sie bei uns richtig. Wir suchen Machine Learning Engineers für die Arbeitsgruppe…
About the Role Rubiscape’s RubiStudio studio promises enterprises a path from experiment to production in under 90 days — and the MLOps Engineer is the person who makes that promise real. You will design the CI/CD…
OVERVIEW: We are seeking an ML Ops Engineer to own the machine-learning lifecycle in production. You will be responsible for getting the five detection models from trained artifact to live, low-latency serving, then…
Data Science Lead Job requirements With at least 8 years of experience in technical product management, engineering management, or similar roles leading technical teams in AI/ML or data-driven product development Key…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps / AI Infrastructure Engineer based in India. As an MLOps / AI Infrastructure…
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
The AI Platform Engineer will build and maintain production infrastructure for AI models, focusing on deployment, monitoring, and automation within media workflows. The role utilizes MLOps practices, Python, and cloud technologies to ensure reliable, scalable AI service delivery.
Providence is seeking an exceptional Principal Cybersecurity Architect to lead the research, development, and deployment of Small Language Models (SLMs) specialized for healthcare and cybersecurity applications. This…
Standort: Heilbronn oder Remote | Start: ab sofort | Vollzeit unbefristet In dieser Rolle übernimmst du die technische Verantwortung dafür, dass unsere Pipelines, unsere Infrastruktur und unsere Software Supply Chain…
Builds and maintains machine learning infrastructure for AB InBev’s B2B platform BEES, including training pipelines, inference services, and monitoring, using Python, PySpark, Kubernetes, and Azure cloud.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Вам предстоит заниматься: Вывод ML/LLM-моделей в промышленную эксплуатацию: упаковка, деплой и сопровождение инференс-движков (vLLM, Triton Inference Server, BentoML) на Kubernetes (CPU/GPU); развитие и поддержка…
Designs and builds scalable data pipelines and AI architectures, deploys deep learning models, and leads statistical modeling for production systems using Python, PySpark, and ML frameworks.
Build and own the MLOps platform that turns research models into production policies for Apollo, the humanoid robot, including dataset versioning, experiment tracking, model registry, evaluation harnesses, and on-robot serving.
Senior System Analyst at Sberbank designing and developing a non-purpose real-estate-secured loan product — gathering requirements, modeling architecture, designing API integrations, and working with LLM/AI technologies (GigaChat, MLflow, AI agents).
Builds and deploys AI/ML systems for lululemon’s retail ecosystem, covering dataset curation, model training, and production monitoring. Focuses on scalable solutions for classification, regression, and generation tasks using cloud platforms and distributed frameworks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.