AI/ML Engineer - Onsite, TS Clearance (Huntsville)

Weeghman & Briggs, LLC; Huntsville (AL); On-site; USD 85,000 - 115,000; Full time

Job summary

Weeghman & Briggs, LLC in Huntsville, AL seeks a Junior AI/ML Engineer to support mission-critical government initiatives. The role emphasizes building scalable ML pipelines, automated training, and production-grade code within secure environments.

The candidate should have experience with Python, ML pipelines, and distributed processing, plus strong communication skills and a background in government projects. This is an onsite full-time opportunity in a growth-focused team.

Qualifications

• Minimum 3 years' experience with a related bachelor’s degree; four additional years of LC experience may substitute for the degree.
• Experience supporting government or DoD programs.
• Strong written and verbal communication skills.
• Experience with Python, ML frameworks, training/inference pipelines, distributed processing, scalable ML, and production software engineering.

Responsibilities

• Support mission-critical programs in secure government environments
• Analyze requirements and translate them into actionable solutions
• Collaborate with cross-functional teams to deliver high-quality results
• Ensure compliance with contract and security standards
• Contribute ideas to improve processes, efficiency, and performance
• Design robust, fault-tolerant, scalable ML pipelines
• Automate training and inference
• Scale data-scientist models
• Support distributed hyperparameter tuning
• Develop production-grade ML code

Skills

Python

ML frameworks

Distributed processing

Production software engineering

Communication

Education

Bachelor's degree in related field

Tools

Containerization

Cloud platforms

GPUs/HPC

MLOps

Job description

Weeghman & Briggs, LLC in Huntsville, AL seeks a Junior AI/ML Engineer to support mission-critical government initiatives. The role emphasizes building scalable ML pipelines, automated training, and production-grade code within secure environments.

The candidate should have experience with Python, ML pipelines, and distributed processing, plus strong communication skills and a background in government projects. This is an onsite full-time opportunity in a growth-focused team.