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.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact, we've got an…
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
AI/ML engineer developing, optimizing, and managing AI-based solutions at Sweden's signals intelligence agency, working with Python, containers, Kubernetes, and MLOps pipelines.
Cardboard is seeking an Applied ML Engineer to build evaluation systems and improve the quality of their AI-powered video editing agent. You will work across the stack using TypeScript and Python to analyze failure patterns, create datasets, and implement regression testing for production AI workflows.
Builds production-grade AI/ML systems for payments tech, focusing on AI agents, RAG, and scalable cloud-native solutions while establishing reusable engineering patterns for regulated environments.
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
Уважаемые кандидаты, в сопроводительном письме просим Вас указать готовность работать в офисе, и есть ли у Вас уникальный проект, которым Вы гордитесь. Обязанности: разработка и внедрение AI/ML-решений; развитие…
Solution Architect providing analytics technical advisory and system integration support for the Australian Department of Defence, focusing on data, AI/ML, and integration projects.
Обязанности Разработка, обучение и вывод в продакшн моделей сегментации и детекции объектов на изображениях Опыт настройки инфраструктуры под задачи ML и MLOps Построение и поддержка надежного сквозного конвейера: от…
Leads the design, build, and operation of high-performance research and trading infrastructure for a quantitative investment firm, including cloud, compute clusters, and DevOps tooling.
Own the end-to-end ML model lifecycle—training data, fine-tuning, evaluation, and release—for an on-premise LLM system that runs on customer hardware inside OPSWAT's MetaDefender Core cybersecurity platform. Core tech: Python, LLM fine-tuning (LoRA/QLoRA), inference serving (vLLM, Ollama), and integration with a Rust production service.
This role involves creating reinforcement learning environments and deterministic verification systems to evaluate AI models on complex software engineering tasks like bug fixing and refactoring. Engineers will use Model Context Protocol (MCP) tools to build reproducible scenarios for AI agent training.
Create reinforcement learning environments to evaluate AI models on software engineering tasks (bug fixing, refactoring, etc.) using Model Context Protocol tools. Work primarily with Python 3, Java, Rust, C++, or TypeScript in a part-time contractor role.
Leads the machine learning systems that personalize meal recommendations for millions of HelloFresh customers, designing and operating scalable recommender pipelines and infrastructure.
Lead the machine learning systems that personalize meal recommendations for millions of HelloFresh customers, designing and operating scalable recommender pipelines and models in production.
Lead the machine learning systems that power HelloFresh’s recipe personalization, designing and operating scalable recommender pipelines, training workflows, and model serving infrastructure to improve customer experience and business growth.
Principal Data Operations Analyst driving operational excellence through advanced data coding, matching, and quality checks, while leading team coordination and stakeholder engagement for BAU production workflows. Core technologies include Machine Learning (required) and Python, SQL, Excel.
Build and maintain AI/ML systems for robotics, including training evaluation pipelines, model fine-tuning, deploying algorithms in simulation and on physical hardware, and integrating robotic control and perception stacks.
Зарплата: от 200000 RUR (на руки)
The Machine Learning Engineer will design, build, and operationalise advanced AI solutions to support UK national security objectives. The role involves working within a multidisciplinary team alongside data scientists and software engineers in a central London office.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
