ML CI/CD Expert
Guides end-to-end ML CI/CD from training to production, including model validation gates, retraining triggers, and deployment strategies.
12 SKILL.md files are tagged “Mlops”. They sit mostly in Technology & Engineering (10), Enterprise & Operations (1), Science & Academia (1). Skills with this tag often also carry: Machine Learning, Technology. Most popular: ML CI/CD Expert, ML Platform Design Expert, Distributed Training Expert. Every skill is a plain-Markdown SKILL.md you can copy or download for Claude Code, Codex and other AI agents.
Guides end-to-end ML CI/CD from training to production, including model validation gates, retraining triggers, and deployment strategies.
Architect and optimize internal ML platforms to enable self-serve experimentation, production pipelines, and multi-tenant reliability; use this skill when designing or scaling i...
Architects and tunes distributed ML training across multi-GPU clusters, covering DDP/FSDP, model parallelism, DeepSpeed, Megatron-LM, 3D parallelism, and elastic fault tolerance.
Senior ML infra architect guidance for feature store design and implementation (Feast, Tecton, Hopsworks), covering online/offline serving, pipelines, freshness, and monitoring.
Guides design and operation of GPU compute clusters for ML workloads, covering multi-GPU training, NVLink/InfiniBand, cloud vs on-prem, cost analysis, and performance tuning.
This skill guides ML cost optimization across training and inference, including GPU right-sizing, caching, and FinOps for measurable savings.
Guides deploying ML models and building MLOps pipelines for production, covering serving, registry, monitoring, and automated retraining.
Helps researchers design and implement scalable ML experiment tracking and management to ensure reproducibility, fast cross-run comparisons, and minimal logging friction.
Senior MLOps expert for production ML monitoring, including drift detection, ground-truth collection, performance and prediction monitoring, dashboards, alerts, and SLA management.
A senior MLOps expert guiding model registry design, versioning, lifecycle management, and governance across platforms such as MLflow, Weights & Biases, and SageMaker.
Guidance on designing and operating production ML model serving infra (TorchServe, Triton, TF Serving, BentoML) for online, batch, or streaming inference, APIs, and autoscaling.
Senior AI and analytics strategy consultant helping enterprises define AI strategy, select platforms, implement MLOps, and translate AI value into business outcomes; use when gu...