AI Machine Learning Skill 2-FFPP-8950

About the role

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.

Responsibilities

• Design, create, test, and productize AI/ML algorithms to solve business challenges
• Ensure AI/ML models learn and make predictions per business logic and customer requirements
• Apply model architecture, data pipeline interaction, and metrics interpretation
• Work with application development, infrastructure management, data engineering, and data governance concepts
• Train, retrain, deploy, schedule, monitor, and improve models via iterative feedback
• Lead geographically diverse teams and serve as primary POC for AI-related matters

Requirements

• Active TS/SCI with Full Scope Polygraph security clearance (U.S. citizenship required)
• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
• Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited institution
• Alternatively, 5 additional years of machine learning experience with a relevant Bachelor's degree may substitute for a Master's degree
• Experience with standard machine learning frameworks (e.g., PyTorch, TensorFlow)

Qualifications

• Expert knowledge of multiple programming languages (e.g., Python, Java, C, R) – a plus
• Ability to select appropriate data sets, perform statistical analysis, run machine learning algorithms, and use results to improve models
• Experience training and retraining systems as needed
• Familiarity with various ML libraries and packages
• Capability to run standard test and evaluation protocols
• Provide system integration oversight
• Oversee test and evaluation of AI and ML algorithms through iterative design 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

Skills

• Programming languages: Python, Java, C, R (expert knowledge a plus)
• Machine learning frameworks: PyTorch, TensorFlow, etc.
• Analytical, problem‑solving, and communication skills
• Leadership of geographically diverse teams

Benefits

• Health Coverage: Medical, dental, and vision insurance
• Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long‑Term Disability, Accident, Critical Illness, Hospitalization Indemnity, Pet Insurance
• Retirement Plan: 401(k) plan with company match
• Paid Time Off: Generous PTO, paid holidays, parental leave, and more
• Wellness: Access to wellness programs and mental health support
• Professional Development: Opportunities for growth, including tuition reimbursement
• Additional Perks: Flexible work arrangements (including remote work options), Flexible Spending Accounts (FSAs), Employee referral programs, Bonus opportunities, Technology allowance
• Culture: A diverse, inclusive, and supportive workplace

Pay

Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.