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We are looking for a highly skilled Sr. AI / ML Engineer with deep OpenAI expertise to lead the design, development, and deployment of enterprise-grade AI solutions for Zensar's global client portfolio. This is a…
Senior Machine Learning Engineer Description - Job Summary This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and…
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge,…
Alongside is a Portuguese company that partners with international organizations to build and scale exceptional tech teams. We are looking for a Senior Machine Learning Engineer to join a project with one of our…
About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health…
Senior Machine Learning Engineer builds and scales production-grade ML systems for real-time customer personalization using Python, PyTorch/TensorFlow, and AWS infrastructure.
About Us Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. We…
Develops advanced deep learning models for audio processing on embedded devices, optimizing quality and efficiency while experimenting with novel neural architectures and research innovations.
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world.…
Build and maintain the machine-learning infrastructure that trains and deploys autonomy and perception models for autonomous battery-electric rail vehicles, using cloud platforms and MLOps tooling.
Design and build scalable ML systems and pipelines for a massive media audience, deploying models and leading architecture decisions in an AI-first rebuild.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through…
At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers…
Senior ML Engineer at Pinterest builds deep learning/machine learning models to personalize the product across surfaces like Homefeed, Ads, Growth, Shopping, and Search, with a focus on candidate retrieval and rapid experimentation. Core tech: Python, Java, recommender systems, NLP, and distributed/GPU training environments.
Builds and deploys advanced sensor-fusion and multi-target tracking models using probabilistic estimation (EKF/UKF, Bayesian filters) to power real-time airspace awareness systems for safety-critical missions.
Build and deploy large-scale generative AI models for Pinterest’s visual search and creation tools, focusing on diffusion-based text-to-image systems and multimodal embeddings.
Senior Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning and large-scale data pipelines to enhance user experiences across Homefeed, Ads, and Search.
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Senior AI/ML engineer at a technology consultancy serving Germany's leading banks and fund companies in Frankfurt am Main. Day to day: designing, building and deploying machine-learning and data-analytics solutions on client infrastructure, coaching staff and owning data science/ML engineering topics. Core stack: Python and hyperscaler cloud platforms (GCP/AWS/Azure).
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