AI Machine Learning Skill 2-FFPP-8841

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

Do you have experience in Systems integration?, Do you have a Master's degree?, 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. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

Pulled from the full job description

• Tuition reimbursement
• Pet insurance
• AD&D insurance
• Parental leave
• Health insurance
• 401(k) matching
• Paid time off, 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.

Benefits: We offer a comprehensive benefits package, including