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Ignite Digital Services

Strategic consulting for organizational transformation

Mid AI/ML Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeWashington, DC, USA$115k

About the Job

Requirements

  • Deep experience building large language model-based systems and retrieval-augmented generation architectures.
  • Strong proficiency with machine learning operations tools such as MLflow, Kubeflow, and Airflow.
  • Advanced scripting skills in Python, JavaScript, or Rust.
  • Expertise deploying models on AWS, Azure, or Google Cloud Platform.
  • Ability to work independently with broad responsibilities.
  • A bachelor's degree in computer science, engineering, mathematics, or a related field.
  • At least 3 years of professional AI/ML experience.
  • Intermediate certifications such as CCSP, CFR, FITSP-M, GSEC, Security+, or SSCP, or advanced certifications such as SecurityX/CASP+, GCSA, GSLC, or CISSP.
  • Must be eligible for access to classified information and meet government security investigation requirements.

Responsibilities

  • Independently develop and optimize machine learning models, pipelines, and platform components.
  • Build retrieval-augmented generation architectures and high-performing inference systems.
  • Create scalable infrastructure to support training, experimentation, and deployment.
  • Lead the integration of AI/ML models into production systems.
  • Conduct advanced troubleshooting and performance tuning.
  • Collaborate with stakeholders to accelerate mission-driven insights.

Desired Qualifications

  • Experience with scientific datasets or multi-domain research workflows.
  • Familiarity with AWS Bedrock, Databricks, vector databases, or comparable technologies.
  • A strong foundation in prompt engineering or AI agents.
  • Experience working with federal clients.

About the Company

Ignite Digital Services

Strategic consulting for organizational transformation

Atlas Executive Consulting helps organizations run more smoothly by providing strategists, data architects, business analysts, and operations experts who tackle challenges. They assemble dedicated cross-functional teams to map problems, analyze data, design improvements, and implement operational changes. They differentiate themselves with an agile, execution-focused approach that blends large-firm rigor with small-team flexibility and ongoing, partner-like engagement. Their goal is to relieve leaders’ stress, free up time, and help clients advance their mission through reliable, high-quality processes.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
North Charleston, SC
Founded
2006

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