Artificial Intelligence Machine Learning Engineer 3

Build to something to be proud of.

Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.

Description

Captivation Software is looking for a senior level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges

Responsibilities

  • 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

  • Develop criteria for test and evaluation to include explainability and resiliency

  • Deep understanding of AI logic, semantics, ontologies, and knowledge representation

  • Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures

  • Design ML algorithms according to customer requirements

  • Research, experiment with, and implement suitable ML algorithms and tools

  • Broaden current AIML frameworks and machine learning libraries

Requirements

Security Clearance:

  • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications:

  • 10 years experience deploying machine learning algorithms 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 is required.

  • 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Required Skills:

  • Demonstrated abilities in software engineering and AI/ML model test and evaluation.

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Benefits

  • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)

  • Up to 20% 401k contribution (No Matching Required and Vested from Day 1)

  • Above Market Hourly Rates

  • $3,600 HSA Contribution

  • 6 Weeks Paid Time Off

  • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

Summary

Design, create, test, and productize AI/ML algorithms to solve business challenges, including data selection, statistical analysis, model training, and cloud-based deployment. Requires 10 years deploying machine learning algorithms, a Top Secret/SCI clearance with favorable polygraph, and U.S. citizenship.

Responsibilities

Design, create, test, and productize AI/ML algorithms; select data sets, perform statistical analysis, run and improve ML models, train and retrain systems, run test and evaluation protocols, provide system integration oversight, transform prototypes into scalable solutions, and design ML algorithms to customer requirements.

Qualifications

Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph; all candidates must be U.S. citizens. 10 years experience deploying machine learning algorithms required. Master's or PhD in advanced math, artificial intelligence, data science, computer science, or deep learning required; 7 additional years of machine learning experience with a relevant Bachelor's degree may substitute for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation.

Education requirements

Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university required; 7 additional years of machine learning experience with a relevant Bachelor's degree may substitute for a Master's degree.

Experience requirements

10 years experience deploying machine learning algorithms required.

How to apply

Open for direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Benefits

Up to 20% 401k contribution; $3,600 HSA contribution; 6 weeks paid time off; company-paid medical, dental, vision, life, short-term and long-term disability, and AD&D insurance