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# Mid AI/ML Engineer

- **Company:** Digital Links Inc
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Systems, Continuous Integration, Fraud Prevention and Detection, Information Extraction, Information Retrieval, Python (Programming Language), Natural Language Processing, Systems Integration, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Git, AI Platforms, Machine Learning Operations, Azure AI, Data Pipelines, Devsecops, Databricks, Vulnerability Analysis
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/ca7dc3a2-dfba-464d-9378-13cb7fcabe47/mid-aiml-engineer

## About the Role

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.