unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring More ❯
unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring More ❯
data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯
data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯
