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

Introduction: The System Engineer will be responsible for working on the primary platform of Google Cloud Platform, deploying models, and integrating them into production applications and Java-based streaming pipelines. They will also be involved in monitoring model behavior in production, benchmarking, and performance testing. Responsibilities: Evaluate and benchmark new ML inference frameworksDeploy models to Google Cloud Platform and integrate them into production applications and Java-based

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

Position: Senior AI/ML Scientist Location: Remote (United States) Type: Long Term Contract Experience: 10+ Years Education: PhD Required About the Role:We are seeking a Senior AI/ML Scientist to design, build, and scale machine learning systems that drive personalization, customer intelligence, and business decision-making. This role combines advanced machine learning, statistical modeling, Generative AI, and Agentic AI to deliver impactful solutions across the organization..Key Responsibilities