mlops - Cupertino

We are looking for MLOPs with hands-on AI profiles on below tech stack immediately. · ...

Dice is the leading career destination for tech experts at every stage of their careers. Our client, K Anand Corporation, is seeking a MLOPs + AI Engineer. · ...

Dice is seeking an MLOps + AI engineer for their client K Anand Corporation. The role involves applying via Dice today. · ...

Build foundational machine learning infrastructure for next-generation Physics AI software. · Automate training pipelines (Kubeflow) · Optimize cloud infrastructure (GCP) · ...

This role bridges the gap between data science model development and production-grade ML Ops Engineering. · Develop predictive models using structured/unstructured data across 10+ business lines. · Leverage AutoML tools for low-code/no-code model development. · ...

We're looking for an MLOps engineer who thrives in real-world robotics environments and can own the entire machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. · ...

We're looking for an MLOps engineer who thrives in real-world robotics environments and can own the entire machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. · 4–7+ years industry experience in MLOps, ML infrastructure ...

We are looking for a Principal MLOps Engineer to lead the design, development, and operation of production-grade machine learning infrastructure at scale. · At Palo Alto Networks, we're united by a shared mission—to protect our digital way of life. We thrive at the intersection o ...

We are looking for MLOPs with hands-on AI profiles on below tech stack immediately · ...

We are looking for a Principal MLOps Engineer to lead the design, development and operation of production-grade machine learning infrastructure at scale. · Architect robust pipelines. · Deploy and monitor ML models. · Evaluate advanced hardware/software acceleration and optimiza ...

We are seeking a highly experienced Staff DevOps & MLOps Engineer to architect, build, and scale our end-to-end DevOps and MLOps platform. · In this role, you will be responsible for the full cloud CI/CD pipeline, cloud infrastructure management, and machine learning model lifecy ...

Dice es la plataforma líder para encontrar empleo en tecnología. · ...

We're looking for an MLOps engineer who thrives in real-world robotics environments and can own the entire machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. · ...

We are seeking a highly experienced and strategic Staff AI Engineer, · DevOps/MLOps to architect build and scale our end-to-end · DevOps and MLOps platform.This is a key leadership position for a hands-on engineer who will define our model versioning production observability · an ...

We are seeking an experienced MLOps Engineer who thrives in real-world robotics environments and can own the end-to-end machine learning lifecycle—from raw data ingestion and labeling through training, evaluation, deployment, and performance monitoring. · ...

We are seeking a highly experienced and strategic Staff AI Engineer, DevOps/MLOps to architect, build, and scale our end-to-end DevOps and MLOps platform. · Join us and help redefine what's possible as we shape the future of mobility.Design and build the foundational, end-to-end ...

We strive to propel innovation to market faster broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus. · Design build and maintain scalable and reliable MLOps infrastructure to support the entire machine learning lifecy ...

We are seeking a highly experienced and strategic Staff AI Engineer, DevOps/MLOps to architect build and scale our end-to-end DevOps and MLOps platform. · We drive the transformation to AI-enabled software-defined vehicles traditional automotive software methods can't keep pace w ...

· Teleo is a robotics startup disrupting a trillion-dollar industry. Teleo converts construction heavy equipment, like loaders, dozers, excavators, trucks, etc. into autonomous robots. This technology allows a single operator to efficiently control multiple machines simultaneous ...

MLOPs+AI Profiles-Cupertino CA- Onsite/Hybrid Duration:12+ Months VISA INDEPENDENT CANDIDATES ONLY Layer. Tools / Technologies Data / Workflow Apache Spark ETL pipelines Training / Experimentation Python PyTorch Create ML Foundation Models LLMs GPT cloud Claude Gemini Open-source ...