Senior Analyst at Joint Research and Development, LLC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

260000.0

Posted On

23 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, MLOps, System Architecture, Statistical Analysis, Data Governance, Feature Engineering, Cloud-based AI/ML Platforms, Containerization, Experimental Design, Data Storytelling, Model Performance Tuning, Supervised Learning, Reinforcement Learning

Industry

Defense & Space

Description

JRAD is seeking candidates for a proposal position supporting the OUSD. This position is Pentagon, DC. Develops artificial intelligence, machine learning, deep learning, and natural language processing algorithms. Designs artificial intelligence solutions to solve business problems. Implements complex data systems. Presents research and makes suggestions to leadership. Recommends changes to existing models with a focus on innovative algorithms. Roles/Responsibilities: * Advanced Model Development: Ten (10) years' experience designing, constructing, and implementing sophisticated ML and deep learning models to solve complex analytical problems. * Eight (8) years’ expertise in a wide range of algorithms, including supervised, unsupervised, and reinforcement learning. * System Architecture & Optimization: Ten (10) years' experience leading the continuous improvement, re-architecting, and updating of existing AI/ML system to create efficient, scalable, and self-learning applications. * Demonstrated experience in model performance tuning, feature engineering, and deploying models into production environments (MLOps). * ML Operations (MLOps) & Scalability: Ten (10) years’ experience designing and implementing robust MLOps pipelines for automated training, validation, deployment, and monitoring of models at scale. * Demonstrated experience with cloud-based AI/ML platforms and containerization technologies. * Advanced Data & Statistical Analysis: Ten (10) years’ experience in statistical analysis, experimental design, and data storytelling to extract actionable insights from large, complex datasets. * Eight (8) years’ experience in data governance, data quality, and ensuring the ethical use of data and algorithms. Preferred Skills and Experience: * Military or DoW experience. Eight years’ (8) experience communicating complex technical concepts to non-technical stakeholders, to drive adoption and demonstrate value. (TS/SCI (SAP eligible). Required Skills and Education: * Bachelor’s degree from an accredited college or university in web design, computer science, mathematics, or engineering. Security Clearance: * TS/SCI When you work for JRAD you will never be just a number. We put people before profits! JRAD is committed to the health and well-being of its employees. We offer more paid time off than the average company upon hire and the following benefits are available to all full-time employees: * Health Insurance * Dental Insurance * Vision Insurance * Life & Accidental Death and Dismemberment Insurance * Section 125 Flexible Spending Accounts for unreimbursed medical & dependent day care * Disability Insurance * 401K Plan * Tuition Reimbursement JRAD is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. The JRAD salary range for this position is a general guideline only and not a guarantee of compensation or salary. There are many factors considered when determining the compensation provided in an offer. These factors include, but are not limited to position responsibilities, education, experience, knowledge, skills, and contract terms and conditions. PLEASE NOTE: Once you apply, to ensure you continue to receive important updates on your application and status, please add JRAD to your approved email list and/or check your spam and junk mail often for updates.

Responsibilities

Develop and implement sophisticated AI, machine learning, and NLP algorithms to solve complex business problems. Lead the architecture, optimization, and deployment of scalable MLOps pipelines and data systems.