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MLOps Engineer

DPR Solutions Inc

 

United States

Posted On: 10 days ago
Experience: 7+ years
Availability: Remote
Openings: 1
Category: MLOps Engineer
Tenure: Full-time Only
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Description

Key Responsibilities

  • Productionise the existing RAG and scanner toolchain through CI/CD — connecting the pipeline end to end so scans, dispositions and remediations flow without manual intervention
  • Build the guardian / evaluation agent: an automated check that runs on every sub-agent deliverable, replacing the current brute-force knowledge-capture approach with a best-practice evaluation pattern
  • Implement the deterministic assertion layer as a programmatic gate — automatically rejecting any disposition that contradicts its own evidence, before a human ever sees it
  • Own AgentOps: trace capture, prompt / rule / model versioning, evaluation-in-CI, regression harnesses, and drift detection
  • Build the observability the team watches daily: pending burn-down, auto-disposition rate, accuracy against the gold set, human-minutes per item, assertion-rejection rate and cost per item
  • Own FinOps for the AI workload: model routing, delta-scoped runs, caching, and a per-cycle token budget tracked as a service-level objective
  • Guarantee provenance and auditability for a regulated environment — every decision reproducible from its evidence snapshot, rule/prompt/model version and human verdict

Qualifications

  • 7+ years in platform / DevOps / MLOps engineering, including production LLM or ML workloads
  • Python — production-grade
  • CI/CD automation for application and ML/LLM workloads; release automation and test gating
  • AgentOps / LLMOps — tracing, prompt versioning, evaluation in CI, regression harnesses, drift detection
  • Observability — OpenTelemetry, distributed tracing, metrics and logging; building dashboards operators actually use
  • AWS; containerisation; infrastructure-as-code (Terraform)
  • FinOps for AI workloads — token accounting, model-routing economics, cost dashboards
  • Guardrails and policy-as-code; secure handling of regulated data
  • Working knowledge of Kubernetes; LangGraph; AWS Bedrock Guardrails
  • Working knowledge of SQL; Informatica; evaluation-harness construction

Education

Bachelor's degree

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