6 mlops engineer jobs at 3 companies in Milaca, MN
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Principal Engineer - AI /ML Platform
Brooklyn Park or Sunnyvale
$168k-$356k/yrHybridFull Time
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
MS or equivalent preferred; extensive experience designing and operating large-scale cloud-native ML platforms, Kubernetes-based infrastructure, MLOps, model governance, observability, and platform automation.
Principal Engineer - AI /ML Platform (Remote Eligible)
Brooklyn Park or Sunnyvale
$168k-$356k/yrHybridFull Time
TargetNYSE: TGT: General merchandise retailer operating physical stores and e-commerce.
Extensive experience designing and delivering large-scale cloud-native ML platforms, expertise with MLOps, Kubernetes, observability, and platform automation; MS in related field preferred.
Vertex AI, Kubeflow, MLflow, Kubernetes, Terraform, GitOps, service mesh
TPAC Underwriters: Underwrites medical stop-loss insurance and administers self-funded health plans.
8+ YOE5+ Mgmt8+ years software engineering experience with 5+ years leading teams; hands-on coding in Python, TypeScript, Go, or Java; experience with cloud architecture, AI/ML/LLM integration, MLOps, DevOps, and strong people leadership.
Boston ScientificNYSE: BSX: Developing and manufacturing innovative medical devices for less-invasive treatments.
7+ YOEBachelor's degree and 7+ years in data product management, architecture, engineering, analytics engineering, or technical product leadership; expertise in data modeling, cloud platforms, SQL, governance, BI, and AI applications.
Boston ScientificNYSE: BSX: Manufacturer of interventional medical devices and technologies.
7+ YOEBachelor's degree and 7+ years in data product management, architecture, engineering, analytics engineering, or technical product leadership; requires cloud data platforms, data modeling, SQL, governance, AWS, and BI expertise.
Boston ScientificNYSE: BSX: Developer and manufacturer of innovative medical devices and therapies.
7+ YOEBachelor's degree and 7+ years in data product management, architecture, engineering, analytics engineering, or technical product leadership. Requires enterprise data products, modeling, SQL, cloud platforms, governance, BI, and AI experience.