Data Engineer

Grey Matters Defense Solutions

Grey Matters Defense Solutions is a leader in developing cutting-edge software solutions for the U.S. defense sector. They are committed to innovation and excellence, empowering their team to create impactful solutions for national security. The company fosters a collaborative culture driven by core values such as integrity and collaboration, engaging a diverse workforce to fuel technological advancements in defense.

In this role you can expect to have the responsibilities:

• Develop and maintain data pipelines for processing raw data into machine learning formats.
• Implement tools for tagging and annotating data to ensure effective metadata management.
• Design databases for structured and unstructured data storage.
• Automate data preprocessing tasks for neural network model readiness.
• Collaborate with ML engineers to integrate data pipelines with MLops workflows.
• Manage infrastructure for deploying and monitoring ML models.
• Implement version control systems for model management.

This role comes with the following benefits:

• SEP IRA 25% addition to base salary
• IBA 12.5% for medical insurance premiums
• Six weeks PTO
• Flexible hours
• Hybrid work option
• Employee assistance program
• Health insurance (multiple plans)
• Employer-paid dental and life insurance premiums
• Vision insurance
• Short and long-term disability insurance

This role requires you to have:

• Active TS/SCI Clearance
• Experience as a Data Engineer for five years
• Experience with machine learning workflows and model deployment
• Understanding MLops practices and CI/CD for ML models
• Familiarity with structured and unstructured data conversion

You would benefit from having:

• Experience with MLops tools like Kubeflow, MLflow
• Proficiency in Python (Dask, NumPy, pandas)
• Experience with distributed computing like Ray and Spark
• Web & API development experience with FastAPI

Grey Matters Defense Solutions embraces a culture of diversity and inclusion, offering competitive benefits and a flexible, startup-like work environment. The company is committed to providing equal employment opportunities to all qualified applicants.