Mid AI/ML Engineer

Digital Links Inc; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Digital Links Inc. seeks a Mid AI/ML Engineer in Washington, DC, offering a hybrid work setup (3 days onsite). USC or GC eligibility, and USA residence for at least 3 years, with client sponsorship for clearance.

Candidates should have 3+ years of relevant experience, including 2+ years in AI/ML, and hands-on skills in Python, APIs, data pipelines, Git, testing and cloud delivery. Experience with LLM, RAG, NLP, document intelligence or predictive ML is needed.

Qualifications

• 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.
• Federal/FedRAMP experience preferred.

Responsibilities

• Develop and deploy AI/ML models and products in production environments.
• Collaborate with cross-functional teams to integrate AI into workflows.
• Design and maintain data pipelines, APIs, and cloud delivery mechanisms.
• Implement MLOps practices and CI/CD pipelines for reliable releases.
• Ensure security, privacy, accessibility, and regulatory compliance across solutions.
• Evaluate performance, monitoring, and governance of AI systems.

Skills

Python

APIs

Data pipelines

Git

Testing

Cloud delivery

LLM

RAG

NLP

Document intelligence

Predictive ML

MLOps

CI/CD

Monitoring

Security

PII

Accessibility

Regulated environments

Job description

Mid AI/ML Engineer

Location: Washington, DC Hybrid (3 days onsite)
Eligibility: USC, GC. Must be in USA for min 3 years. Client will sponsor clearance

• 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.
• Federal/FedRAMP experience preferred.