Mid AI/ML Engineer

Digital Links Inc
  • Washington, DC
  • Instant Apply
6 days ago

Job Description

Mid AI/ML Engineer

Location: Washington, DC Hybrid (3 days onsite)

Note:

Required certification evidence

The candidate must hold and provide verifiable evidence of at least one relevant AI/ML credential, such as an Azure AI/Generative AI certification, AWS Generative AI or ML certification, Google Cloud Generative AI/ML credential, Databricks Generative AI Engineer credential, Snowflake data credential, NVIDIA generative AI credential, CAIP, or equivalent.

  • 3+ years relevant experience, including 2+ years AI/ML implementation.
  • Hands-on Python, APIs, data pipelines, Git, testing and cloud delivery.
  • Experience with LLM, RAG, NLP, document intelligence or predictive ML.
  • Build AI applications, automation, integrations and production solutions.
  • Experience with MLOps/DevSecOps, CI/CD, monitoring and evaluation.
  • Knowledge of security, PII, accessibility and regulated environments.

Preferred qualifications

  • Experience with AWS, Azure, Google Cloud, or FedRAMP-authorized AI services.
  • Experience with vector databases, embedding pipelines, reranking, evaluation tooling, and LLM observability.
  • Experience supporting Federal ATO/RMF, SBOM creation, vulnerability scanning, and Section 508 remediation.
  • Experience in OSHA, grants oversight, workforce programs, compensation claims, fraud detection, document processing, or public-facing information systems.

Required certification evidence

The candidate must hold and provide verifiable evidence of at least one relevant AI/ML credential, such as an Azure AI/Generative AI certification, AWS Generative AI or ML certification, Google Cloud Generative AI/ML credential, Databricks Generative AI Engineer credential, Snowflake data credential, NVIDIA generative AI credential, CAIP, or equivalent. Evidence must be supplied at onboarding and annually thereafter; self-attestation is not sufficient.

Numbers & Facts

LocationWashington, DC

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Cloud Computingunmatched
  • Compensation and Benefitsunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Managementunmatched
  • Gitunmatched
  • Information Technology & Information Systemsunmatched
  • Machine Toolunmatched
  • Microsoft Windows Azureunmatched
  • OSHAunmatched
  • Python Programming/Scripting Languageunmatched
  • Section 508unmatched
  • Vulnerability Scannersunmatched

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