AI Engineer I
AI
Ai Ml
Application Security
Artificial Intelligence
Automation
AWS
Aws Sagemaker
Cloud
Cloud Infrastructure
Cloud Native
Cloud Native Technologies
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data & Ai
Data Analysis
Data Processing
Data Science
Databricks Mlflow
Deep Learning
DevOps
DevSecOps
Engineering
Engineering Software
Generative AI
GPU
Information Technology (IT)
Infrastructure
Infrastructure As Code
Kubernetes
Machine Learning
Machine Learning Engineer
Open Source Ai
Platform Engineering
Programming
Programming Language
Programming Languages
PyTorch
Security Automation
Security Devops
Software Development
Software Security
TensorFlow
Job Description
CyberTrend Engineering LLC is seeking an AI Engineer I to design, create, test, and productize AI and machine learning systems. This role supports the full model development lifecycle, including language model build-out, evaluation, deployment, and integration into production and full-stack AI applications in a hybrid environment in Annapolis Junction, MD.
Key Responsibilities
- Select appropriate data sets for model development.
- Conduct statistical analysis and apply machine learning algorithms to improve model outcomes.
- Build, train, fine-tune, and retrain machine learning models, with a focus on language models.
- Apply best practices in model training, tuning, and optimization to improve model performance.
- Run standard test and evaluation protocols, including performance analysis and benchmarking.
- Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
- Design and implement solutions for model performance improvement.
- Provide system integration oversight and ensure seamless integration into production environments.
- Collaborate with software engineers to build scalable and efficient deployment pipelines.
- Work with data scientists, product teams, and engineers to translate business requirements into technical solutions.
- Contribute to the development and maintenance of the full stack for AI model-based applications, including front-end and back-end components.
- Work with cloud-based AI platforms, especially AWS Sagemaker, to deploy and scale models.
- Document workflows, model design processes, and technical specifications.
Required Qualifications
- Requires TS/SCI with Poly Clearance.
- Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- A B.S. degree in advanced math (e.g., calculus, linear algebra, or Bayesian statistics), computer science, or a related STEM discipline from an accredited college or university is required.
- Three (3) years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.
- Knowledge and experience of language models is required.
- Specific experience with Marian and multi-lingual model development is required.
- Strong Java, C, C++ programming experience is required.
- Willingness to support occasional on-call duties is a plus.
Preferred / Key Competencies
- 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 (JavaScript, Python, Java, etc.).
- Solid understanding of data structures, algorithms, and system design.
- 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 working in a government or defense-related environment is highly preferred.
Additional Skills
- Experience with model versioning and management using 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).
Technology Stack
Python, Java, C, R, Marian, Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, Lambda, EC2, S3, JavaScript, MLFlow, Git, Kubernetes
Benefits
- Generous and competitive paid time off scaled based on time in service, plus eleven paid annual holidays.
- CyberTrend pays 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.
Location
Annapolis Junction, MD (hybrid)