Senior ML Engineer: Document Intelligence & Production AI

Strider Technologies; Tysons (VA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Compensation

Flexible PTO

Wellness Reimbursement

Comprehensive Medical, Dental, and Vision Insurance

401(k) Plan

Company Equity Options

Paid Parental Leave

Job summary

Strider Technologies is seeking a Senior Machine Learning Engineer in Tysons, Virginia. In this role, you'll design and build scalable AI/ML systems for document processing, ensuring high reliability and performance. Your work will directly support intelligence products, collaborating with engineering and intelligence teams for effective data analysis.

The ideal candidate has a strong background in Python, machine learning, and deploying solutions on AWS, along with excellent communication skills in a hybrid working environment.

Qualifications

• 5+ years of experience in Machine Learning or AI.
• Strong understanding of NLP techniques such as tokenization and entity extraction.
• Experience deploying and operating ML pipelines in production.

Responsibilities

• Design and maintain scalable machine learning solutions focused on document classification.
• Deploy models using AWS cloud services.
• Ensure reliability and performance through continuous testing.

Skills

Python

Machine Learning

NLP techniques

AWS

Data processing pipelines

Software engineering

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD (nice-to-have)

Tools

Elasticsearch

PyTorch

Scikit-Learn

Job description

Strider Technologies is seeking a Senior Machine Learning Engineer in Tysons, Virginia. In this role, you'll design and build scalable AI/ML systems for document processing, ensuring high reliability and performance. Your work will directly support intelligence products, collaborating with engineering and intelligence teams for effective data analysis.

The ideal candidate has a strong background in Python, machine learning, and deploying solutions on AWS, along with excellent communication skills in a hybrid working environment.