Today
Top Secret/SCI
Unspecified
Polygraph
IT - Software
Annapolis, MD (On-Site/Office)
At Wyetech, you'll 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.
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.
We are seeking an AI/ML 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.
Key Responsibilities:
• Knowledge and experience of Language models is required
o Specific experience with Marian and multi-lingual model development
• Knowledge of Computation Linguistics is a plus
• Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
• Strong Java, C, C++ programming experience
• Willingness to support occasional on-call duties is a plus
• Model Development & Training:
o Build, train, and fine-tune machine learning models, particularly language models
o Apply best practices in model training, tuning, and optimization.
o Design and implement solutions for model performance improvement.
• Evaluation & Testing:
o Conduct rigorous model evaluation, including performance analysis and benchmarking.
o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration:
o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
o Integrate machine learning models into production environments, ensuring seamless integration with other systems.
• Full-Stack Engineering:
o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
o Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting:
o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
o Document workflows, model design processes, and technical specifications.
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).
Capabilities
Required Qualifications
Required Technical Skills
Desired Technical Skills
The Benefits Package
Company Environment & Perks
$0 - $0 an hour
Pay Range: $ - $ per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected] . We are happy to provide reasonable accommodations to ensure equal access to all candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
We are seeking an AI/ML 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.
Key Responsibilities:
• Knowledge and experience of Language models is required
o Specific experience with Marian and multi-lingual model development
• Knowledge of Computation Linguistics is a plus
• Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
• Strong Java, C, C++ programming experience
• Willingness to support occasional on-call duties is a plus
• Model Development & Training:
o Build, train, and fine-tune machine learning models, particularly language models
o Apply best practices in model training, tuning, and optimization.
o Design and implement solutions for model performance improvement.
• Evaluation & Testing:
o Conduct rigorous model evaluation, including performance analysis and benchmarking.
o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration:
o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
o Integrate machine learning models into production environments, ensuring seamless integration with other systems.
• Full-Stack Engineering:
o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
o Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting:
o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
o Document workflows, model design processes, and technical specifications.
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).
Capabilities
- 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
- Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
- Research and implement a broad range of AI and ML algorithms and tools
- Design or Select appropriate data and knowledge representation methods
- Recognize software architecture, data modelling, and data structures
- Transform and convert data science prototypes into scalable solutions
- Verify data and model output quality
- Identify differences in data distribution that affect model performance
Required Qualifications
- TS/SCI with agency appropriate poly
- Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
- 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
- Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Required Technical Skills
- 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.
- Experience working in a government or defense-related environment is highly preferred.
- o Experience with model versioning and management using tools such as MLFlow or Git.
- o Familiarity with containerization tools (i.e. Kubernetes).
- o Strong problem-solving and analytical skills.
- o Excellent communication and collaboration abilities.
Experience & Background:
Additional Skills:
Desired Technical Skills
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
The Benefits Package
- 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.
- 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
Additional benefits include:
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
Company Environment & Perks
- 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.
$0 - $0 an hour
Pay Range: $ - $ per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected] . We are happy to provide reasonable accommodations to ensure equal access to all candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
group id: 10382300
