A developer built a production-grade machine learning system to predict 30-day hospital readmissions using the UCI Diabetes 130-US Hospitals dataset, which contains 101,766 patient encounters from 130…
Hackers are actively exploiting CVE-2026-64849, a critical unauthenticated Server-Side Request Forgery (SSRF) vulnerability in MLflow, an open-source AI development platform used by thousands of organ…
Faire, a technology wholesale platform, is hiring a Senior Staff Machine Learning Platform Engineer with a salary range of $295k–406k per year, based remotely in the US or in San Francisco, CA. The ro…
Helsing, a defense technology company developing AI-enabled drone software, is hiring a Machine Learning Engineer for Detection and Tracking in Washington, DC, to own the detection and tracking models…
CNCF's Daniel Bryant argues that LLMOps should be integrated into existing platform engineering rather than treated as a separate stack, warning that shadow AI pipelines built outside governance pose …
Design patterns have evolved from object-oriented classics like Factory and Singleton to distributed system patterns and now to AI architecture patterns such as ReAct, Plan-and-Execute, and Reflection…
XAI and Databricks announced a partnership on June 18 at the 2026 Data + AI Summit to integrate Grok models natively into Databricks' Agent Bricks platform, targeting enterprise document understanding…
A developer seeking advice on experimenting with retrieval-augmented generation (RAG) pipelines asked the community how they compare configurations of retrievers, chunking strategies, embeddings, rera…
Toast is hiring a Senior Principal Software Engineer for its Machine Learning Platform team, offering a salary of $283k–453k/yr for a remote, US-based position. The role involves leading technical dir…
A developer outlines a practical, phase-by-phase roadmap for becoming an AI/ML engineer, emphasizing hands-on projects and real-world deployment over tutorial-based learning. The guide covers fundamen…
Aina, a new open-source tool, lets developers upload an ONNX model, autotune it for specific edge hardware, and deploy it across a fleet with a single API and CLI, eliminating the manual per-device SS…
NBCUniversal achieved a 30% reduction in data infrastructure costs and onboarded over 300 analysts onto Databricks SQL after migrating to the Databricks Data Intelligence Platform, according to a blog…
AI Lab Tech released Triton Control v1.2.2, an open-source control plane for NVIDIA Triton on Kubernetes that unifies deployment, model repositories, inference testing, performance analysis, developme…
A comparison of LLM observability tools MLflow, Langfuse, and Confident AI highlights that standard application logging fails to capture critical context like retrieved documents, system prompts, and …
Databricks has published a cheatsheet for its Certified Context Engineer Associate exam, detailing the seven exam sections, context failure modes, and product stack recommendations. The guide covers t…
CLA (CliftonLarsonAllen LLP) and Databricks built a Databricks-native agentic auditing solution using Lakebase Postgres that reduces document extraction time from hours to minutes. The orchestration l…
Yelp has launched Training Orchestrator, a new internal framework that replaces individual team Spark training scripts with a configuration-driven, DAG-based execution model to unify machine learning …
Amazon SageMaker AI integrated MLflow for model monitoring in a July 7, 2026 AWS blog post, separating data drift from model drift to help ML teams identify whether input distribution changes or predi…
Amazon Web Services introduced a model monitoring architecture using the open-source Evidently Python library and Amazon SageMaker AI with MLflow to detect data and model drift in discriminative ML mo…
Amazon SageMaker AI now integrates with MLflow to stream benchmark and recommendation results into a unified tracking interface, reducing data silos and accelerating iteration cycles for generative AI…