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Leads development of computer vision systems for document recognition at Smart Engines: designing CV/deep learning architectures, building high-performance C/C++ components, improving model accuracy, and managing a dev team. Office-based in Moscow with flexible start times.
Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
Lead ML Engineer at greeHill in Budapest who architects and drives large-scale computer vision and deep learning systems (e.g., traffic sign and building facade detection) for urban/climate tech, mentors ML engineers, and owns MLOps deployment. Core stack: Python, PyTorch, Azure, Docker/Kubernetes, Airflow; hybrid 4 days office, 1 day home.
Job Title: AI/ML Engineer Lead Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The…
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure powering our AI innovation…
Salary: £30,000 - 50,000 per year Requirements: We have recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager. We have strong foundations in ML,…
LIPTON Teas & Infusions is seeking a Senior Machine Learning Engineer (Data & AI) to shape and deliver advanced ML capabilities within the Data & AI team. You will lead end-to-end ML pipelines and drive…
The Lead Machine Learning Engineer will build and maintain distributed training pipelines, model monitoring systems, and ML frameworks to support digital banking services. The role focuses on scaling machine learning workflows using technologies like Python, PyTorch, TensorFlow, Ray, and Spark.
Job Description: Job Title: Technical Lead, AI/ML _RIO(OSS) Location: Bangalore (Hybrid) Why should you choose us? Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking…
AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product…
The GT CDAO team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. GT CDAO tackle business critical priorities using innovative machine learning techniques…
Lead Machine Learning Engineer (Python, GoLang, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at…
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Senior/Lead Computer Vision Engineer at CarCutter (Paris, hybrid) owning computer vision and generative AI features end to end — from research and prototyping to production deployment. Day to day: building production-grade image/video pipelines with Python and PyTorch, evaluating state-of-the-art and diffusion models, plus ~20% technical leadership and mentoring.
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial…
Lead Software Engineer on JPMorgan Chase's Consumer & Community Banking AI/ML Platform Engineering team, building, scaling, and maintaining robust machine learning solutions as part of an agile team. Based on-site in Jersey City, NJ.
Lead-level software engineer on J.P. Morgan's Commercial and Investment Banking team, focused on AI/ML engineering and GPU-based ML model serving. Day to day: working in an agile team to design and deliver secure, stable, and scalable technology solutions.
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