Artificial Intelligence Machine Learning Skill Level 2

Wyetech•Annapolis Junction, MD

1d•$20 - $50

About The Position

Wyetech is hiring an Artificial Intelligence/Machine Learning Engineer, Skill Level 2, to support research, design, development, testing, evaluation, integration, deployment, and sustainment of AI/ML algorithms and scalable machine-learning solutions for mission-critical Government requirements. The engineer develops and optimizes models that identify patterns, learn from data, and generate predictions aligned with customer requirements. Work spans the machine-learning lifecycle, including dataset selection, statistical analysis, model architecture, training and retraining, performance evaluation, integration, deployment, and ongoing optimization. The role includes researching and implementing algorithms; evaluating data and model quality; converting data science prototypes into scalable operational software; and overseeing iterative testing and validation. The engineer also supports data-pipeline integration, software architecture and data modeling, and identification of data-distribution changes that could affect model performance. Collaboration with software engineers, data scientists, systems engineers, infrastructure teams, and mission stakeholders is integral to the position. Candidates must meet the Skill Level 2 labor-category requirements and the position-specific experience requirements. One qualification path requires a relevant master's or doctoral degree and five years of applied machine-learning experience. An alternative path requires a relevant bachelor's degree and ten years of qualifying experience; five additional years of qualifying machine-learning experience may substitute for the master's degree requirement. Experience with PyTorch and TensorFlow is required. The position requires U.S. citizenship and an active TS/SCI clearance with an in-scope Full Scope Polygraph completed within the past seven years; applicable clearance and program access must be maintained throughout employment. The posting lists an hourly pay range of $20.00–$50.00. Rates are guidelines rather than guaranteed compensation and may vary based on contract rates, education, experience, skills, certifications, and location. Wyetech describes an employee-focused culture and offers a SEP IRA contribution, PTO, voluntary benefit plans, referral-bonus eligibility, mobility among supported contracts, team events, and two complimentary branded clothing orders annually. Work locations may include Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii, and OCONUS; no specific work arrangement is stated.

Requirements

Active TS/SCI security clearance with an in-scope Full Scope Polygraph completed within the past seven years; clearance and program access must be maintained throughout employment.
U.S. citizenship.
Meet the Artificial Intelligence/Machine Learning Engineer Skill Level 2 labor-category requirements and position-specific experience requirements.
One of the following education and experience paths: a master's or Ph.D. in Advanced Mathematics, Artificial Intelligence, Data Science, Computer Science, Deep Learning, or a related qualifying discipline, plus five years of applied machine-learning experience on programs or contracts of similar scope, type, and complexity; or a bachelor's degree in a relevant technical discipline plus ten years of qualifying applied machine-learning experience on similar programs or contracts. Five additional years of qualifying machine-learning experience may substitute for the master's degree requirement.
Experience with standard machine-learning frameworks such as PyTorch and TensorFlow.
Demonstrated experience designing, developing, testing, evaluating, and deploying AI/ML algorithms, including implementing and executing machine-learning algorithms.
Experience selecting datasets; performing statistical analysis; training, retraining, fine-tuning, and optimizing models; and using evaluation results to improve performance, accuracy, reliability, and efficiency.
Experience with machine-learning libraries, frameworks, and software packages; researching and implementing algorithms, methodologies, and supporting tools.
Experience conducting model testing, evaluation, verification, validation, and iterative testing activities.
Understanding of software architecture, data modeling, data structures, and system integration.
Experience transforming data science prototypes into scalable software solutions and supporting integration of AI/ML models into existing applications and operational environments.
Experience evaluating data quality and model outputs, and identifying data-distribution changes that affect model performance.
Familiarity with data pipelines, infrastructure management, data engineering, and data governance.
Experience documenting model architectures, development processes, evaluation results, and technical findings.
Strong analytical, troubleshooting, communication, and problem-solving skills; ability to collaborate with technical teams and stakeholders to translate requirements into effective AI/ML solutions.

Nice To Haves

Strong programming experience in Python, Java, C, R, or comparable languages.
Experience developing scalable machine-learning solutions in enterprise or mission-critical environments.
Experience supporting AI/ML model deployment, monitoring, and lifecycle management.
Experience optimizing model performance and computational efficiency.
Experience developing or maintaining automated model-training and evaluation workflows.
Experience integrating AI/ML capabilities with enterprise applications, databases, and data-processing systems.
Experience working with large datasets and complex data-processing pipelines.
Experience supporting model versioning, configuration management, and experiment tracking.
Familiarity with cloud-based AI/ML development and deployment environments.
Experience implementing data-quality assessments and monitoring changes in data distributions.
Experience supporting AI/ML verification and validation activities.
Experience coordinating technical activities across geographically distributed engineering teams.
Experience serving as a technical point of contact for AI/ML development and integration activities.
Experience supporting Government, Department of Defense, or Intelligence Community programs.

Responsibilities

Design, develop, implement, maintain, train, retrain, fine-tune, and optimize AI/ML models to meet customer and mission requirements.
Select and prepare datasets for model development, training, validation, and evaluation; perform statistical analysis of data characteristics, quality, suitability, and patterns.
Research, evaluate, and implement AI/ML algorithms, methodologies, frameworks, tools, and alternative model architectures.
Conduct iterative model testing, evaluation, benchmarking, verification, and validation; assess accuracy, reliability, efficiency, and operational effectiveness.
Analyze model outputs and evaluation results to identify errors, limitations, deficiencies, and opportunities for improvement; implement corrective improvements based on testing results and user feedback.
Design or select data and knowledge representation methods and apply data-modeling and data-structure principles to machine-learning solutions.
Analyze data distributions and identify changes that could affect model performance; support data preprocessing, transformation, integration, and pipeline interaction.
Transform data science prototypes into scalable, maintainable, operational software solutions and apply software architecture principles to AI/ML system development.
Support integration of trained models into enterprise applications and operational environments, including architecture, interfaces, dependencies, testing, troubleshooting, and operational validation.
Support deployment, scheduling, monitoring, maintenance, retraining, updates, and lifecycle sustainment of machine-learning solutions.
Coordinate with software, data, systems, and infrastructure engineers to resolve integration and performance issues and improve deployment and operational support.
Assess emerging technologies and develop and test prototypes to evaluate technical feasibility and mission suitability.
Translate customer requirements into AI/ML development and integration activities; participate in design reviews, planning, testing, and integration discussions.
Document model architectures, datasets, development and training procedures, configurations, evaluation methodologies and results, deployment details, technical findings, and recommendations.
Communicate performance findings, technical challenges, and recommended solutions; support coordination across geographically distributed teams and serve as a technical resource for AI/ML activities.
Perform additional AI/ML engineering responsibilities as required to support mission objectives.

Benefits

Company contribution of 20% of gross compensation to a SEP IRA, with no employee matching required; contributions are fully vested from day one.
PTO plan of up to 200 hours annually, aligned with applicable state leave regulations, with the option to adjust PTO allocation at the start of each calendar year.
Voluntary medical plan options, some with a Health Savings Account.
Vision and dental benefits.
Life and AD&D benefits.
Short- and long-term disability benefits.
Hospital indemnity, accident, and critical illness insurance options.
Optional identity theft and legal protection services.
Employee referral bonus eligibility up to $10,000.
Mobility among Wyetech-supported contracts.
Team-building events, including monthly lunches, a summer company picnic, and an annual holiday party.
Two complimentary branded clothing orders annually.