AI Engineer I

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 is hiring an AI Engineer I in Annapolis Junction, MD (hybrid) to build, train, evaluate, and deploy advanced language model solutions across the full lifecycle.

Responsibilities

• Select appropriate data sets for model training and evaluation
• Perform statistical analysis and use results to improve model quality
• Run machine learning algorithms and iterate on training outcomes
• Build, train, fine-tune, and evaluate machine learning models, with emphasis on language models
• Train and retrain systems when needed
• Apply best practices for model training, tuning, and optimization
• Design and implement solutions to improve model performance
• Conduct rigorous model evaluation using performance analysis and benchmarking
• Perform error analysis, debugging, and model diagnostics for reliability and quality
• Run standard test and evaluation protocols
• Provide system integration oversight
• Work with cloud-based AI platforms, especially AWS SageMaker, to deploy and scale models
• Integrate machine learning models into production environments and connect with other systems
• Contribute to full-stack development for AI model-based applications (front-end and back-end)
• Collaborate with software engineers to build scalable and efficient deployment pipelines
• Partner with data scientists, product teams, and engineers to translate business requirements into technical solutions
• Document workflows, model design processes, and technical specifications

Requirements

• TS/SCI with Poly Clearance required
• 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
• B.S. in advanced math (e.g., calculus, linear algebra, or Bayesian statistics), computer science, or related STEM discipline from an accredited college or university
• 3 years additional machine learning experience on projects with similar machine learning processes may substitute for a bachelor’s degree
• Knowledge and experience of language models required
• Specific experience with Marian and multi-lingual model development
• Strong programming experience in Java, C, and C++
• Occasional on-call duties willingness is a plus

Technologies

• Python
• Java
• C
• R
• Marian
• Open-source model libraries
• Deep Learning Containers (DLC)
• GPU technologies
• TensorFlow
• PyTorch
• Hugging Face
• AWS SageMaker
• AWS Lambda
• EC2
• S3
• JavaScript
• MLflow
• Git
• Kubernetes

Benefits

• Generous and competitive paid time off based on time in service, plus eleven paid annual holidays
• CyberTrend covers 100% of the cost for medical (base plan), dental, vision, disability, life, EAP, and more for full-time employees
• CyberTrend contributes 10% of monthly gross salary to a SEP-IRA account (non-contributory for the employee, no vesting period, 100% owned and managed by the employee)
• Educational assistance up to $5,250 annually for work-related activities upon prior approval
• Training assistance up to $3,000 annually for work-related activities upon prior approval

Key Qualifications

• Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
• Expertise in model training, evaluation, and deployment
• Hands-on experience with AWS tools including SageMaker, Lambda, EC2, and S3
• Experience developing full-stack software applications using JavaScript, Python, Java, and similar technologies
• Solid understanding of data structures, algorithms, and system design

Experience & Background

• Extensive experience in machine learning model development, including NLP
• Experience with model evaluation, optimization, and performance monitoring
• Proven software engineering experience with strong coding skills
• Experience in a government or defense-related environment is highly preferred

Additional Skills

• Experience with model versioning and management using tools such as MLflow or Git
• Familiarity with containerization tools such as Kubernetes
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

Nice to Have

• Experience with secure data handling and compliance requirements
• Experience working with Large Language Models (LLMs)