Senior Applied AI/ML Engineer — On-site Northern VA

Vantor Inc.; Springfield (VA); On-site; USD 140,000 - 206,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Inc. seeks a Senior Applied AI/ML Engineer to join an agile, fast-paced customer environment supporting mission-critical decisions for Special Operations.

You will help build end-to-end data and ML capabilities, develop scalable data pipelines, deploy models and services into production, and deliver analyst-facing applications and tools. The ideal candidate has strong data engineering fundamentals plus applied data science and software development, able to translate ambiguous problems

Qualifications

• Active TS/SCI clearance with CI polygraph.
• Bachelor's degree in Computer Science, Data Science, Information Science, Mathematics, Statistics, Engineering, or a related field.
• 8+ years of related experience in data engineering, data science, ML engineering, software engineering, or a combination.
• Strong programming experience with Python, PySpark, and SQL.
• Experience designing and optimizing production data pipelines for large-scale datasets.
• Experience developing and deploying analytics, ML, or data-intensive apps.
• Data modeling, ETL/ELT, data quality, transformation logic, and analytical data stores.
• Able to translate ambiguous problems into practical data/software solutions.

Skills

Python

PySpark

SQL

Data pipelines

ML deployment

APIs

Cloud (AWS/Azure)

Docker/Kubernetes

Geospatial analysis

Education

Bachelor's degree in CS/DS/Info Sci/Math/Engineering

Tools

FastAPI

Django

React

TypeScript

OpenAPI/Swagger

Job description

Vantor Inc. seeks a Senior Applied AI/ML Engineer to join an agile, fast-paced customer environment supporting mission-critical decisions for Special Operations.

You will help build end-to-end data and ML capabilities, develop scalable data pipelines, deploy models and services into production, and deliver analyst-facing applications and tools. The ideal candidate has strong data engineering fundamentals plus applied data science and software development, able to translate ambiguous problems