Artificial Intelligence/Machine 1

Wyetech•Annapolis Junction, MD

About The Position

At Wyetech, youâll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. We are seeking an AI/ML Level 1 Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions. The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Requirements

TS/SCI with agency appropriate poly
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 related STEM discipline from an accredited college or university is required.
3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelorâs degree.
Knowledge and experience of Language models is required
Specific experience with Marian and multi-lingual model development
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
Strong Java, C, C++ programming experience
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 like SageMaker, Lambda, EC2, and S3.
Experience in 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 natural language processing (NLP).
Experience with model evaluation, optimization, and performance monitoring.
Proven experience in software engineering with strong coding skills.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.

Nice To Haves

Knowledge of Computation Linguistics is a plus
Willingness to support occasional on-call duties is a plus
Experience working in a government or defense-related environment is highly preferred.
Experience with model versioning and management using tools such as MLFlow or Git.
Familiarity with containerization tools (i.e. Kubernetes).
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)

Responsibilities

Select appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Build, train, and fine-tune machine learning models, particularly language models
Apply best practices in model training, tuning, and optimization.
Design and implement solutions for model performance improvement.
Conduct rigorous model evaluation, including performance analysis and benchmarking.
Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
Integrate machine learning models into production environments, ensuring seamless integration with other systems.
Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
Collaborate with software engineers to build scalable and efficient deployment pipelines.
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
Document workflows, model design processes, and technical specifications.

Benefits

Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services
Employee Referral Bonus Eligibility up to $10,000
Mobility Among Wyetech-supported Contracts
Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
Employees receive two complementary branded clothing orders annually.

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