Senior AI/ML Engineer

Summary

Join Raft, a customer-obsessed company specializing in distributed data systems and complex application development, as a Senior AI/ML Engineer. Collaborate with a cross-functional data team to develop machine learning models for our federal and public agency clients. This remote position requires 5+ years of relevant experience, expertise in ML model design and deployment (PyTorch preferred), and proficiency in various data processing frameworks (Apache Spark preferred). You will need to obtain Security+ within 90 days. Raft offers a highly competitive salary, comprehensive benefits, and a supportive work environment.

Requirements

• 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
• 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

Responsibilities

• Develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers
• Collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists
• Build and maintain machine learning pipelines

Preferred Qualifications

• Publications or GitHub repos showcasing your skills
• Experience with TypeScript
• Prior work with LLM’s and Agentic Workflows

Benefits

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses