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Job Details: Job Description: Altera is seeking a highly motivated and skilled Logic Designer to contribute to the development of cutting-edge programmable logic devices. This role involves designing, verifying, and…
Gen AI Developer (5 to 8 years) The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty…
Position Title: GenAI-Team Lead III - AI -GR-39656-70585-JR201049 Job Family: IFT > Engineering/Dev Shift: Job Description: Job Title Team Lead III - AI Requirement Type Full-Time Employee Job Location…
Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
Applied AI Engineer, Inference at CoreWeave. Improve real-world performance of AI models via benchmarking, profiling, and optimization.
Company Qualcomm Middle East Information Technology Company LLC Job Area Engineering Group, Engineering Group > Software Engineering General Summary About Us Qualcomm is enabling a world where everyone and…
Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by…
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Overview Generative AI is transforming how people create, collaborate, and communicate—redefining productivity across Microsoft 365 for customers worldwide. At Microsoft, we operate one of the largest collaboration and…
Senior MLOps Engineer with 7+ years of experience needed for an AI-powered construction software company. Responsibilities: Design, build, and maintain infrastructure for deploying, serving, and monitoring machine…
Оператор Газпром ИД (ГИД) - динамично развивающаяся высокотехнологичная компания в составе Группы компаний Газпром. Мы создаем доступные ИТ-решения, формируем цифровое будущее и пеняем подходы к трансформации,…
Senior FPGA engineer implementing digital signal processing for software-defined radios on Zynq UltraScale+ MPSoC, using MATLAB/Simulink, VHDL/Verilog, and Xilinx Vivado in a hybrid role based in Boston or Scottsdale.
The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
At Orca AI, we build AI-powered vision systems that enhance safety and decision-making for some of the world’s largest vessels. Our platform processes live video streams from multiple onboard cameras to provide…
Senior ML engineer builds and optimizes BERT-based text classifiers for product catalogs using Python, PyTorch, and PostgreSQL, with full remote or hybrid options in Moscow.
Builds and optimizes a high-concurrency recommendation system for a crypto exchange, focusing on real-time feature engineering, vector retrieval, and low-latency model inference to personalize user experiences at scale.
Build, train, and evaluate in-house large language models to replace costly commercial LLMs for Toss’s services, focusing on Korean language and domain-specific capabilities.
Builds and deploys AI/ML systems for banking services like fraud detection, lending models, and LLM-based agents in a high-traffic, regulated environment.
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