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88,000+ live jobsThis role focuses on designing and implementing large-scale Knowledge Graphs integrated with LLMs. You will build structured knowledge foundations to enhance Generative AI systems.
Applied AI Engineers will build production systems and LLM pipelines to automate business processes.
This role involves leading a distributed engineering team focused on MLOps and analytics. You will manage people, review code, and drive technical strategy.
Lead the design and evolution of the ML Platform for a fast-growing tech marketplace. Build infrastructure and tooling for scalable model deployment, working with AWS, Kubernetes, and Kafka.
Seeking a Data Scientist with over two years of experience in pricing, promotions, or marketing analytics. Must be proficient in Python, SQL, and key ML libraries, with GCP cloud skills.
We are looking for an ML Engineer to deploy and optimize models in production. You will manage MLOps, pipeline orchestration, and cloud monitoring. The role is fully remote.
This role focuses on designing and training machine learning forecasting and propensity models. You will manage high-volume data ingestion and deployment within the Google Cloud Platform ecosystem.
Design and scale advanced analytical solutions and predictive models within Google Cloud Platform. You will develop forecasting and propensity models using machine learning techniques.
Industrialize, deploy, and maintain Machine Learning models in production. You will ensure scalability and monitoring using MLOps best practices.
This role involves designing and deploying AI/ML architectures for global enterprise customers. You will work with Kubernetes, Linux, and various open-source data technologies.
This role involves designing and developing machine learning models using Google Cloud Platform tools.
Build and maintain the ML platform for a European second-hand marketplace scale-up. Work with data scientists on scalable model deployment and MLOps.
