21 hours ago
🇺🇸 United States – Remote
💵 $120k - $190k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
• This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. • Raft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. • We’re looking for an experienced Staff MLOps Engineer to support our customers and join our passionate team of high-impact problem solvers. • Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events. Your primary responsibilities will be to deploy ML infrastructure, build MLOps pipelines, and contribute to the development of a full-lifecycle ML platform.
• 5+ years of relevant hands-on experience • 5+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance. • Practical experience with Machine Learning on Kubernetes • Experience managing clusters of local GPU machines • Experience building and maintaining machine learning platforms and pipelines • 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 • Ability to obtain a Security+ certification within the first 90 days of employment with Raft • Highly preferred: • Experience with data processing frameworks (Apache Spark preferred) • Solid understanding of Helm Charts • Knowledge of Istio • Experience with supporting enterprise Cloud applications or infrastructure • Experience in automation languages like Python or GoLang • Comfortable provisioning and debugging complex CI/CD pipelines
• 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 • And More!
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