Senior ML Engineer - Google Cloud Platform

Senior ML Deployment Engineer (Google Cloud Platform)Introduction:As a Senior ML Deployment Engineer at our company, you will play a crucial role in deploying, benchmarking, and optimizing machine learning models for production on Google Cloud Platform (Google Cloud Platform). Your expertise in ML frameworks such as TensorFlow and PyTorch, along with your experience in performance tuning and quality testing, will be instrumental in ensuring the success of our ML deployment projects. Responsibili

Introduction:This position as a Machine Learning Engineer on our team will involve working primarily on the Google Cloud Platform (Google Cloud Platform) for tasks such as inference, deployment automation, experimentation, and sampling. The role also includes integrating Java-based streaming pipelines, working with hybrid infrastructure systems, and utilizing machine learning frameworks like TensorFlow, PyTorch, and JAX. Responsibilities:Evaluate and benchmark new ML inference frameworksDeploy m

This opportunity is for a Senior MLOps Engineer role with one of our clients. Please find the job description below. Position Overview: Role: Sr MLOps Engineer Location: Remote [Candidates must work PST hours] Duration: 12+Months Rate: $60/hr on W2 | $70/hr on C2C Job Summary: The Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with crossfunctional partners including biostatisticians, bioinformatics scientists, AI scientists, and software engineers to d

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering