Senior Analyst

Joint Research & Development, Inc.

$100K — $130K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in web design, computer science, mathematics, or engineering.
  • 10 years of experience in designing and implementing advanced ML and deep learning models.
  • 8 years of expertise in various machine learning algorithms including supervised and unsupervised learning.
  • 10 years of experience in MLOps and designing robust pipelines for model deployment.
  • Demonstrated skills in data governance and ethical use of algorithms, with at least 8 years of experience.

Responsibilities

  • Develop AI, ML, and NLP algorithms to address business challenges.
  • Design and implement complex data systems to support operations.
  • Present research findings to leadership and provide strategic recommendations.
  • Lead efforts in optimizing and updating existing AI/ML systems for performance.
  • Oversee model tuning, feature engineering, and deployment processes in production environments.
  • Create and maintain automated pipelines for model training and monitoring at scale.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • Life and accidental death insurance coverage.
  • Flexible Spending Accounts for medical and dependent care expenses.
  • Disability insurance for enhanced employee security.
  • 401K plan for retirement savings.
  • Tuition reimbursement to support ongoing education.
Full Job 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 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

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