Mission-Critical AI/ML Engineer - MLOps & Production

Accenture Federal Services; Washington (District of Columbia); On-site; USD 108,400 - 203,400; Full time

Job summary

A federal consulting firm is seeking a Cleared AI/ML Engineer to develop and maintain MLOps frameworks and optimize machine learning models for mission-critical applications. Candidates should possess experience in scripting languages, machine learning at scale, and familiarity with major deep learning frameworks. US citizenship and an active security clearance (Top Secret or TS/SCI) are required. The position is full-time, located in Washington, DC, offering a competitive salary range of $108,400—$203,400 USD.

Qualifications

• Experience with scripting languages, especially Python, JavaScript, or Rust.
• Hands-on experience in developing machine learning models from inception to deployment.
• Familiarity with deploying and optimizing ML models in production.

Responsibilities

• Develop MLOps frameworks for various domains.
• Deploy and optimize ML models in production environments.
• Collaborate with teams to integrate AI/ML models into services.

Skills

Scripting languages (Python, JavaScript, Rust)

Machine learning models development

Deep learning frameworks (TensorFlow, PyTorch)

MLOps and CI/CD tools (MLFlow, WandB)

AWS, Azure, or GCP environments

Design and develop custom architectures

Large datasets management

Monitoring and triaging data processes

Education

Advanced Degree in STEM

Job description

A federal consulting firm is seeking a Cleared AI/ML Engineer to develop and maintain MLOps frameworks and optimize machine learning models for mission-critical applications. Candidates should possess experience in scripting languages, machine learning at scale, and familiarity with major deep learning frameworks. US citizenship and an active security clearance (Top Secret or TS/SCI) are required. The position is full-time, located in Washington, DC, offering a competitive salary range of $108,400—$203,400 USD.