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.
Prêt(e) à bâtir et gouverner l'usine IA du leader de la fintech ? Rejoignez l'équipe Data & IA en tant qu'AI Platform Engineer (5-8 ans d'exp). Vous êtes le garant de l'excellence technique et…
Оператор Газпром ИД (ГИД) - динамично развивающаяся высокотехнологичная компания в составе Группы компаний Газпром. Мы создаем доступные ИТ-решения, формируем цифровое будущее и пеняем подходы к трансформации,…
ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідуючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни. Ми…
- Build search and retrieval pipelines - Create RESTful APIs for AI services - Design RAG solution architectures - Develop evaluation and assurance frameworks - Ensure provenance and access controls - Implement…
RESPONSIBILITIES: Kforce has a client seeking a Senior MLOps Engineer in Fort Lauderdale, FL to join a high-performing team focused on building and scaling enterprise machine learning platforms. This role is…
The Senior AI Engineer will work with large datasets in a high-security environment, focusing on AI/ML development, MLOps, and LLM integration within an on-premise infrastructure.
The Senior DevOps Engineer will manage on-prem infrastructure to support AI/ML, MLOps, and LLM data processing tasks in a high-security environment.
Intern exploring Green AI and agentic systems: research state-of-the-art, architect and implement a POC, deploy it on GCP with Kubernetes and MLOps tools, then analyze and optimize its environmental footprint. Core stack: Python, GCP, k8s, MLOps.
The AI Engineer will build and deploy stateful agentic systems and multimodal RAG pipelines for a fintech platform. The role involves architecting production-grade AI solutions on AWS/GCP, implementing security guardrails, and managing the full lifecycle of generative AI models.
The Senior Machine Learning Engineer will build and productionize AI-based solutions for ad creative and campaign performance using Python, cloud infrastructure, and modern ML frameworks. This role involves working within the AI Platform team to enhance MLOps capabilities and deliver high-impact advertising experiences.
Senior Data Scientist focused on AI Quality & Evaluation, building evaluation frameworks, golden datasets, and LLM-as-a-Judge systems for a healthcare voice-AI company using Python, NLP, and speech technologies.
The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
We are seeking an experienced Senior AI Engineer to design, develop and deliver AI-enabled solutions for large-scale organisations. The role involves developing proof-of-concept and production AI applications, working…
Nous recherchons un(e) Data Scientist & Analytics Specialist pour rejoindre notre équipe Data. À la croisée de l'analyse décisionnelle et de la modélisation avancée, vous serez responsable de transformer…
Develops and fine-tunes AI foundation models (e.g., transformers, diffusion) to analyze single-cell biological data, identify drug targets, and accelerate drug discovery by collaborating with biologists and chemists.
En Logicalis Spain estamos buscando AI / Machine Learning Engineer para incorporarse a un proyecto estratégico, participando en el desarrollo de soluciones avanzadas de Inteligencia Artificial centradas en…
Lead a global ML and backend engineering org at HelloFresh, building AI-driven pricing, benefit optimization, and customer lifetime-value systems across Berlin, Warsaw, NYC, Boulder, and Toronto.
Обязанности: • заниматься построением моделей чувствительности, склонности к продуктам банка, прогнозирования различных характеристик клиентов • разрабатывать пайплайны для обработки данных с использованием LLM •…
The Data Scientist will work with Databricks Lakehouse architecture to build AI/ML solutions, focusing on GenAI, RAG, and agentic workflows using LangChain and LangGraph. The role involves developing APIs with FastAPI and managing MLOps pipelines within Azure or AWS Databricks environments.
MLOps engineer building and deploying MLOps practices (environments, CI/CD, monitoring) for ML models in batch and streaming modes at Sberbank Insurance, using MLflow, Kubeflow, Airflow, Docker, Kubernetes, Python, and SQL.
We couldn't check your fit for this role — add a CV to your profile to see it next time.