About the Role

As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure, on one of the fa…

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working toge…

Desde Rehire acompañamos a una empresa tecnológica en la búsqueda de un Senior Machine Learning Engineer, con fuerte foco en construcción de pipelines de entrenamiento (MLOps) y desarrollo de modelos de Computer Vision en entornos productivos.

La posición está orientada a perfiles con alta seniority,…

Desde Rehire acompañamos a una empresa tecnológica en la búsqueda de un Senior Machine Learning Engineer, con fuerte foco en construcción de pipelines de entrenamiento (MLOps) y desarrollo de modelos de Computer Vision en entornos productivos.

La posición está orientada a perfiles con alta seniority,…

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately…

We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas - including credit scoring, collection, antifraud, sales and other.

This role combines hands-on development with strat…

Responsible for operationalizing AI models, ensuring scalable, reliable, and automated deployment of ML and LLM solutions across environments.

Responsibilities: -

- Build and manage MLOps and LLMOps pipelines
- Automate model deployment using CI/CD pipelines
- Monitor model performance, drift, and retra…

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apple's hardware and software platforms.

The team builds critical infrastructure that begins with onboarding the…

Яндекс Еда — сервис доставки из ресторанов и магазинов с миллионами пользователей и заказов. Для ML это большой объём данных, быстрые A/B и высоконагруженные реал-тайм-задачи. Ищем ML-разработчика, который будет участвовать в проработке решений на основе машинного обучения.Ответственность за все ста…

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices…