Machine Learning Operations Engineer
@ SAIC

Fort Belvoir, Virginia, United States
$120,000
On Site
Full Time
Posted 8 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @saic.com
Recommended after applying

Job Details

Overview

SAIC is seeking a Machine Learning Operations Engineer to join our team in Fort Belvoir, Virginia. In this role, you will streamline the deployment, monitoring, and maintenance of ML models and systems within the Army Intelligence & Security Enterprise (AISE).

Job Duties

  • Design and implement MLOps pipelines for ML model deployment.
  • Develop CI/CD tools for AI/ML systems.
  • Troubleshoot operational issues in deployed models.
  • Collaborate with data scientists and ML engineers.
  • Monitor performance, drift, and reliability of models.
  • Implement retraining workflows as needed.
  • Ensure compliance with security protocols and governance policies.
  • Stay updated on advancements in MLOps practices and tools.
  • Support operational integration of AI/ML solutions for enhanced intelligence.

Required Education & Qualifications

Bachelor's with five or more years of experience; Master's with three or more years of experience; PhD or JD with no experience requirements; or four years of experience in lieu of a degree.

Required skills include proficiency in Python or Bash, strong understanding of MLOps tools (MLflow, Kubeflow, TensorFlow Extended), containerization (Docker), orchestration (Kubernetes), and cloud-based AI/ML platforms (AWS, Azure, Google Cloud). Experience with large language models (e.g., GPT) is also important.

Clearance

Candidates must have an active TS/SCI with the ability to obtain a TS/SCI with Polygraph.

Key skills/competency

  • MLOps
  • CI/CD
  • Python
  • Containerization
  • Kubernetes
  • Cloud Platforms
  • Monitoring
  • DevOps
  • Troubleshooting
  • Security Compliance
Apply without a personalized resume

How to Get Hired at SAIC

🎯 Tips for Getting Hired

  • Research SAIC's culture: Study their mission, values, and employee testimonials.
  • Customize your resume: Highlight MLOps and CI/CD experience.
  • Prepare technical examples: Showcase projects with Python and Kubernetes.
  • Practice interview insights: Emphasize collaboration and troubleshooting skills.

📝 Interview Preparation Advice

Technical Preparation

Review MLOps pipeline design fundamentals.
Brush up on Python scripting and container tools.
Practice CI/CD tool integrations and cloud setups.
Study deployment monitoring and troubleshooting methods.

Behavioral Questions

Describe a time you solved a technical challenge.
Explain collaboration with cross-functional teams experience.
Discuss managing deadlines under pressure.
Illustrate adaptability in evolving project requirements.

Frequently Asked Questions