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AI/ML Engineer with Infrastructure | Local to Connecticut or Minnesota

Han IT Staffing
Location not stated
2 days ago
  • AI/ML
  • Incident Response
  • Python
  • TensorFlow
  • PyTorch
  • Docker
  • Kubernetes
  • System Design
  • CI/CD
  • Devops
  • MLOps
  • AI
  • REST API
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Local to Connecticut or Minnesota

AI/ML Engineer with Infrastructure
Location: Hartford, CT or Minneapolis, MN (Onsite)
  • Translate data science prototypes into production-grade ML services and pipelines.
  • Build training and inference code with reproducibility, versioning, and automated testing.
  • Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
  • Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
  • Collaborate with Data Engineering on feature pipelines and data contracts.- Own production health drift detection, performance regression, rollback strategies, and incident response.


" "12+ years software engineering with 5+ years shipping ML models to production.
Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
- Experience with containers and orchestration (Docker/Kubernetes) and API development.
- Understanding of ML system design (data leakage, training-serving skew, drift).- CI/CD and DevOps practices applied to ML workloads (MLOps). " "- Experience with feature stores, model registries, and model monitoring stacks.- GPU optimization and distributed training experience.
- Experience with responsible AI toolkits and compliance requirements. "Python, TensorFlow, PyTorch, Docker, REST APIs

AI/ML Engineer with Infrastructure | Local to Connecticut or Minnesota · Han IT Staffing

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