leveraging?ML-Ops,?cloud-native architectures, and?innovative feedback loops?to continuously improve data quality, speed...Job Description Job Profile: Senior MLOps Engineer About the Project LSEG is a leading global financial markets...
Ops, AI/ML, CI/CD, DevOps, Automated Testing, and API Architectures. Key Responsibilities Azure Data Architecture...Role Overview: The Senior Lead Data Engineer will operate within a matrixed product team design, holding...
) and ML ops tools (e.g. Azure Machine Learning, MLflow) Familiarity with containerization and orchestration (Docker... delivery and integrate with existing ML systems. Understand cloud-native architecture concepts and have knowledge...
) and ML ops tools (e.g. Azure Machine Learning, MLflow) Familiarity with containerization and orchestration (Docker... delivery and integrate with existing ML systems. Understand cloud-native architecture concepts and have knowledge...
, you'll directly impact customers' delivery experiences every day. Our technology innovations span the full spectrum: AI, ML... and existing systems experience - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience...
our growing network and include a wide breadth of solutions from ML and operations research-based routing and planning algorithms... (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming...
and containers; comfort with service ops (logs, metrics, scaling). Practical experience with GPU inference on Triton or ONNX Runtime... services. Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry). Tech stack: ML Sys| Flink | Spark | Kafka...
and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including... time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow...
up training pipelines, versioning, model packaging, and deployment workflows. Use ML Ops tools to streamline model... frameworks (e.g., PyTorch, TensorFlow) and ML Ops tools for training, deployment, and monitoring. Exposure to user experience...
, Brand Ops, Supply Chain and serve as their squads’ technology and observability leader and be key liaison to our engineering... and operational workflows. Integrate AI/ML-driven observability tools for predictive monitoring and anomaly detection. Partner...
, including shaping large AI/ML deals. Architectural Skills: Strong grounding in data architecture, ML Ops, APIs...): o Google Cloud Professional Data Engineer or ML Engineer o Google Cloud Professional Cloud Architect o Additional AWS/Azure...