Senior Machine Learning Engineer
@ SAIC

Fort Belvoir, Virginia, United States
$140,000
On Site
Full Time
Posted 13 hours ago

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Job Details

Overview

SAIC is seeking a Senior Machine Learning Engineer to join our team at Fort Belvoir, Virginia. This role is responsible for integrating, scaling, and deploying machine learning models and systems to support the Army Intelligence & Security Enterprise (AISE).

Responsibilities

  • Design, develop, and deploy machine learning models.
  • Optimize models through hyperparameter tuning and feature engineering.
  • Collaborate with data engineers to optimize data pipelines.
  • Implement MLOps practices for deployment and monitoring.
  • Ensure scalability, security, and reliability of ML systems.
  • Stay updated on new ML frameworks and methodologies.
  • Support integration of AI/ML solutions to enhance intelligence operations.

Qualifications

Bachelor's with 5+ years, Master's with 3+ years, or PhD with relevant experience. Proficiency in Python, R, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, Google Cloud) is required. Experience with LLMs and tools like Docker and Kubernetes is advantageous. Active TS/SCI clearance is required.

Key skills/competency

  • Machine Learning
  • Python
  • TensorFlow
  • PyTorch
  • Cloud Platforms
  • MLOps
  • Data Engineering
  • LLMs
  • Deployment
  • Security
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How to Get Hired at SAIC

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML projects and relevant skills.
  • Demonstrate cloud expertise: Showcase AWS, Azure, Google Cloud experience.
  • Emphasize MLOps: Explain deployment and monitoring proficiency.
  • Prepare for technical interviews: Review ML frameworks and algorithms.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice TensorFlow and PyTorch exercises.
Study cloud AI/ML platform configurations.
Familiarize with MLOps deployment tools.

Behavioral Questions

Describe team collaboration experiences.
Explain handling tight project deadlines.
Discuss problem-solving under pressure.
Share conflict resolution examples.

Frequently Asked Questions