Senior AI/ML Engineer - Secure AWS Pipelines (PyTorch/TF)

Fallstechnology; Chantilly (VA); On-site; USD 158,000 - 193,000; Full time

Benefits offered by this job

9% retirement contribution

100% of family medical premiums paid

4 weeks PTO

Job summary

Falls Technology is seeking a Senior AI / Machine Learning Engineer to train models and integrate pre-trained components into production data workflows for a federal national-security mission. The role emphasizes building reliable AI workflows with AWS ETL pipelines and implementing software in Python, Java, and C++ using PyTorch or TensorFlow.

Located in Chantilly, VA (onsite), the role offers USD 175,000 annually, strong retirement contribution, full family medical coverage, and 4 weeks PTO.

Qualifications

• Active TS/SCI with Polygraph is required.
• Hands-on experience with PyTorch or TensorFlow.
• Proficiency in Python, Java, C++, and Conda.
• Strong foundation in probability, statistics, and algorithms.
• Experience with data structures, data modeling, and software architecture.
• Ability to train and integrate ML models into data-driven systems.

Responsibilities

• Automate workflows and business processes using AI to support operational needs.
• Train models and integrate pre-trained models into production data flows.
• Design data structures and data models, and contribute to software architecture.
• Develop AI and ML software components using Python, Java, and C++, leveraging PyTorch or TensorFlow.
• Build and support ETL pipelines on AWS to move and transform data for downstream AI capabilities.

Skills

Python programming

Data modeling

Algorithms

Probability & statistics

Tools

PyTorch

TensorFlow

Conda

AWS

ETL pipelines

Job description

Falls Technology is seeking a Senior AI / Machine Learning Engineer to train models and integrate pre-trained components into production data workflows for a federal national-security mission. The role emphasizes building reliable AI workflows with AWS ETL pipelines and implementing software in Python, Java, and C++ using PyTorch or TensorFlow.

Located in Chantilly, VA (onsite), the role offers USD 175,000 annually, strong retirement contribution, full family medical coverage, and 4 weeks PTO.