Platform Engineer

• Build and operate the Machine Learning (ML) infrastructure and platforms powering Artificial Intelligence (AI) products
• Design systems for model training, evaluation, deployment, inference, and experimentation
• Build and optimize model serving and inference infrastructure for high-throughput and low-latency workloads
• Improve reliability, scalability, latency, and cost efficiency of Artificial Intelligence (AI) systems
• Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement
• Build platforms and tooling that enable Artificial Intelligence (AI) engineers and researchers to experiment, evaluate, and ship models faster
• Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions
• Build production observability, monitoring, tracing, and alerting for Artificial Intelligence (AI)/Machine Learning (ML) workloads
• Identify bottlenecks across the Machine Learning (ML) stack and continuously improve system performance
• Work closely with Artificial Intelligence (AI) engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure
• Ensure AI infrastructure reliably supports production workloads at scale
• Ensure models can be trained, evaluated, deployed, and improved efficiently
• Ensure inference systems deliver strong latency, throughput, reliability, and cost efficiency
• Ensure Machine Learning (ML) pipelines are reproducible, observable, maintainable, and robust
• Detect and diagnose model and infrastructure regressions quickly
• Create reusable Machine Learning (ML) infrastructure platform primitives
• Enable the AI stack to evolve rapidly as new models, architectures, and inference techniques emerge

Platform Engineer jobs in Mali

Machine Learning Platform Engineer, Machine Learning, Artificial Intelligence