• 5 years of relevant hands-on experience
• Strong practical experience in Software Engineering
• Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred)
• Experience with Kubernetes and Docker
• Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series
• A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
• Experience building and maintaining machine learning pipelines
• Experience in using data processing frameworks (Apache Spark preferred)
• Practical programming and scripting skills (Python preferred)
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
• Obtain Security+ within the first 90 days of employment with Raft
• Ability to obtain and maintain a Top Secret clearance

Desirable

• As Senior AI/ML Engineer, you will collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists
• Your primary responsibility will be to develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers