AI Engineer I – LLM/NLP, AWS SageMaker

CyberTrend Engineering LLC; Maryland; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Eleven paid holidays

Full healthcare coverage (medical, +d)

SEP-IRA 10% contrib

Educational assistance up to $5,250

Training assistance up to $3,000

Job summary

CyberTrend Engineering LLC seeks an AI Engineer I in Annapolis Junction, MD, in a hybrid role to build, train, evaluate, and deploy advanced language model solutions across the full lifecycle. The position requires TS/SCI with Poly clearance, strong ML background, and proficiency in Java, C, C++, Python.

You will work with PyTorch, TensorFlow, Hugging Face, and AWS SageMaker to develop scalable AI applications and integrate ML models into production systems, collaborating closely with data

Qualifications

• BS in advanced math (calculus, linear algebra, Bayesian stats) or CS
• 2 years ML experience in similar scope
• 3 years ML experience may substitute for bachelor
• Language models knowledge required
• Marian and multilingual model development experience
• Strong programming in Java, C, C++

Responsibilities

• Select datasets for model training and evaluation
• Perform statistical analysis to improve model quality
• Run ML algorithms and iterate on training outcomes
• Train, fine-tune, and evaluate language models
• Work with AWS SageMaker to deploy models
• Collaborate on full-stack AI applications (front-end and back-end)
• Document model design, workflows, and specs
• Provide system integration oversight
• Contribute to scalable deployment pipelines with engineers
• Translate business needs into technical ML solutions

Skills

Data analysis

Language models

Java

C

C++

Python

NLP

ML evaluation

On-call willingness

Education

B.S. in math or CS

Tools

Marian

Open-source libraries

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

AWS Lambda

EC2

S3

Kubernetes

MLflow

Job description

CyberTrend Engineering LLC seeks an AI Engineer I in Annapolis Junction, MD, in a hybrid role to build, train, evaluate, and deploy advanced language model solutions across the full lifecycle. The position requires TS/SCI with Poly clearance, strong ML background, and proficiency in Java, C, C++, Python.

You will work with PyTorch, TensorFlow, Hugging Face, and AWS SageMaker to develop scalable AI applications and integrate ML models into production systems, collaborating closely with data