Ai/machine Learning 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
• Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
• 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
• May be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters

• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow
• 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
• Five (5) years' experience in applied machine learning in programs and contracts of similar scope, type, and complexity 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
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree
• TS/SCI w/ Polygraph clearance required
• U.S. Citizenship

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R

• Highly competitive compensation
• Comprehensive Health Benefits package
• 401K Retirement plan
• People Partners who will help you navigate both personal and professional worlds
• Strong wellness related resources offered through our healthcare provider
• Company-sponsored continuing education program
• Generous Paid Time Off benefit
• 11 paid holidays a year
• Flexible work options
• Philanthropy program
• Great Corporate Facilities (weekly happy hour, café, collaborative office space)
• SkillBridge Program for servicemembers