ML Platform Software Engineer

06 ago - Italia
Altro

Overview Experteer OverviewIn this role you will design, build, and optimize large-scale ML and data infrastructure across on-prem NVIDIA DGX clusters and AWS, enabling robust training pipelines and production-ready ML solutions. You will lead complex projects within the ML Platform team, delivering scalable, maintainable software and data workflows. You'll collaborate with data science and engineering teams to integrate ML processes while advancing platform reliability and developer experience. This is a hands-on leadership position focused on impactful, end-to-end outcomes.
Benefits Architect and develop core components of the ML platform and data infrastructure for training, inference, and large-scale data processing
Design and implement scalable GPU cluster and distributed data pipeline solutions on-prem and in AWS
Lead project workstreams, ensuring timely delivery and alignment with platform roadmap
Build and optimize data pipelines for ingestion, transformation, storage, and retrieval supporting ML workflows
Write clean, efficient code across multiple languages (services, tooling,



automation)
Collaborate with data science and engineering teams to integrate ML and data workflows (feature stores, model registries)
Implement CI/CD for ML/data workflows using Argo Workflows, ArgoCD, GitHub Actions
Maintain observability and logging (Prometheus, Grafana, CloudWatch, ELK/Opensearch) and drive SLOs and cost-awareness
Operate AWS services (EKS, EC2, VPC, IAM, S3, EFS, Batch) across hybrid environments, contributing to security and compliance
Continuously improve platform reliability, performance, and developer experience; stay current on MLOps/data engineering practices
Responsibilities 8+ years of software engineering experience
Strong proficiency in Python and at least one of Go, C++, Rust, Bash
Solid grasp of data structures, algorithms, concurrency, networking, and distributed systems
Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, Docker
Ability to pass

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