Artificial Intelligence/Machine Learning 2 at Wyetech

Maryland, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Government, TechnologyIndustries

Requirements

United States Citizenship and position appropriate security clearance (e.g. Active TS/SCI with agency appropriate polygraph)
Knowledge and experience of Language models, specifically with Marian and multi-lingual model development
Knowledge of Computational Linguistics (a plus)
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies, and optimization/tuning
Strong Java, C, C++ programming experience (expert knowledge of multiple programming languages e.g. Python, Java, C, R a plus)
Proficiency in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance
Hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP)
Strong understanding of full-stack development
Exceptional analytical, problem-solving, and communication skills (may lead geographically diverse teams and serve as primary POC for AI-related matters)
Willingness to support occasional on-call duties (a plus)
Capabilities: Select appropriate data sets, perform statistical analysis, run machine learning algorithms, use results to improve models, train and retrain systems when needed

Responsibilities

Design, create, test, and productize AI/ML algorithms to solve business challenges, capable of learning and making predictions per business logic
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
Understand training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback to design scalable solutions for optimal performance

Skills

Machine Learning

NLP

Python

Java

Model Architecture

Data Pipelines

Model Training

Model Deployment

Full-Stack Development

Wyetech

Custom engineering services with cybersecurity focus

About Wyetech

Wyetech, LLC offers a highly professional environment known for solving complex problems in the areas of software, systems, cloud computing, data analysis, and cybersecurity. This company is a great workplace as it provides its employees with challenging projects in both federal and commercial sectors, enabling them to use and grow their skills in cutting-edge technology fields. In addition, Wyetech boasts a legacy of industry expertise and a commitment to high-quality solutions, making it a respected leader in its field.

1400 Annapolis Rd, Odenton, MD 21113, USAHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Consulting, Government & Public SectorIndustries

11-50Employees