ML Applications Engineer — Clearance Eligible & Production AI

Virtualitics; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary/equity/bonus

Comprehensive benefits package including medical, dental, and vision

Job summary

A leading AI exploration company is seeking an ML Applications Engineer to enhance their AI data applications. This pivotal role merges machine learning, data engineering, and software development, requiring proficiency in Python and a readiness to obtain a U.S. government security clearance. The position includes responsibilities for designing scalable software solutions and collaborating with other teams to ensure product usability. Competitive salary, equity, and comprehensive benefits package are offered, promoting career advancement opportunities.

Qualifications

• Must be open to obtaining a U.S. government security clearance.
• Proficiency with Python Data Stack (pandas, NumPy, scikit-learn, etc.).
• Proven track record of deploying software into production environments.

Responsibilities

• Design and maintain scalable software solutions using Virtualitics SDK.
• Architect and implement data pipelines for data collection and storage.
• Collaborate with Product Managers to enhance application usability.

Skills

Python proficiency

Problem-solving skills

Excellent communication in English

Education

Degree in Computer Science or related field or 4+ years experience

Tools

Docker

Kubernetes

Git

Job description

A leading AI exploration company is seeking an ML Applications Engineer to enhance their AI data applications. This pivotal role merges machine learning, data engineering, and software development, requiring proficiency in Python and a readiness to obtain a U.S. government security clearance. The position includes responsibilities for designing scalable software solutions and collaborating with other teams to ensure product usability. Competitive salary, equity, and comprehensive benefits package are offered, promoting career advancement opportunities.