Senior Machine Learning Engineer

Sweetwater Sound•Fort Wayne, IN

1d•Onsite

About The Position

Sweetwater, the nation's number one online retailer of music instruments and pro audio gear, is seeking to add an experience, analytical, and detailed Senior Machine Learning Engineer to our growing Data and Analytics team! In this role, you will be responsible for leading the technical execution of Machine Learning and AI systems from handoff, through operation. You will design robust architectures for training and service, shape deployment, measurement, and monitoring of strategies that ensure scalability, security, and maintainability. As the Senior Machine Learning Engineer, you will work to partner with stakeholders across the organization and help us to properly prioritize operational outcomes. You will have opportunity to mentor junior engineers in Machine Learning practices. If you are looking for the next challenge and are interested in helping a growing team scale ML and AI implementation, then we'd love to speak with you!

Requirements

Bachelor's Degree in Computer Science, Data Science, Analytics, Mathematics, or related field
4+ years of experience in Data Science, Machine Learning, or related field
Experience focused on ML and AI Systems or MLOps
Expertise in building and operating production Machine Learning on large-scale data systems
Excellent written and verbal communication skills
Ability to manage multiple projects and push initiatives forward while staying organized
Strong software architecture skills
Deep knowledge and understanding of CI/CD, observability, and cloud-native patterns

Nice To Haves

Master's Degree in related field, preferred

Responsibilities

Lead end-to-end technical delivery for Machine Learning and AI systems (pipelines, service, integrations), including planning for reliability, cost, and operational ownership
Define and implement measurement and monitoring strategies (SLOs/SLIs where applicable, dashboards, alers, model/pipeline registries) aligned to data governance expectations
Partner with Data Science and product/engineering leaders to clarify requirements, acceptance criteria, and operational runbooks for production Machine Learning and AI
Drive resolution of complex production issues
Institutionalize preventative fixes and improved test coverage for Machine Learning and AI paths
Mentor associate and mid-level ML Engineers, while promoting standards for code quality, security, documentation, and change management