Senior ML Infrastructure Engineer

Job-ID29345614Reference26-02001 ML Engineer We're hiring an engineer to own the ML platform our ML engineers use to train, evaluate, deploy, and monitor models. You'll turn one-off scripts into self-serve tools, improve GPU performance and utilization, and make the whole ML lifecycle faster and easier for the team. This role suits someone who cares about developer experience and performance and has built ML or data platforms before. 6+ years building production backend systems, including internal developer or ML platforms Strong Python and PyTorch, with the ability to profile and debug below the model code Hands-on GPU inference optimization in production, such as batching, quantization, TensorRT, or torch.compile Experience running models at scale and managing a model registry, including versioning and promotion Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.