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Senior System Analyst at Sberbank designing and developing a non-purpose real-estate-secured loan product — gathering requirements, modeling architecture, designing API integrations, and working with LLM/AI technologies (GigaChat, MLflow, AI agents).
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
Software Engineer III on Google Cloud's TPU performance team: manually optimizes open-source ML models (sharding, quantization, custom kernels), builds agentic-AI tooling to automate optimization principles, collaborates with compiler teams on cost modeling, and maintains benchmarks so public Cloud customers get performance recipes for their own models.
Engineer on Alibaba.com (International Station)'s search/ads/recommendation engine team in Hangzhou: builds and optimizes distributed high-concurrency online engines, large-scale TensorFlow/PyTorch model inference services, and LLM Agent applications (tools/MCP, RAG), with focus on latency, throughput, cost, and stability.
Salary: $5,000 – $7,500 per month About the role Own solution design and pre-sales technical support for our AI infrastructure product line — GPU compute, MaaS, and inference services. Translate customer requirements…
R&D expert on Alibaba Cloud's PAI team building the inference engine for image/video generation (DiT-class AIGC models), owning generation speed, cost, model coverage, and quality. Work centers on operator fusion, graph compilation, multi-GPU parallelism, quantization, and distillation, using Python, C++, PyTorch, and CUDA/Triton.
About the Location Work from any of our 16 branch community locations: Port aux Basques, Doyles, Jeffrey's, St. George's, Corner Brook, Deer Lake, Port Saunders, St. Anthony, L'Anse au Loup, Mary's…
Top 3 Reasons To Join Us Attractive salary & benefits you'll love Building large-scale products Working in one of the best places to work in VN The Job Chúng tôi đang tìm kiếm DevOps/ Platform Engineer có kinh…
OVERVIEW OF THE COMPANY JOB DESCRIPTION Red Seat Ventures partners with the world's top creators across multiple genres to grow and monetize their content — through advertising, subscription, live events, and…
Job Highlights • Multiple Permanent Openings – Opportunities in Vessel IT Infrastructure (Remote Support) and Corporate IT Support (Onsite & Remote). • Attractive Remuneration Package – Permanent role, Up to $6000…
About Sigmawave AI Sigmawave AI builds visual data and computer vision systems that work in the real world. We create synthetic and real-world visual datasets to train computer vision models, and we deliver computer…
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into…
Wireless and Edge AI/ML Engineer The Opportunity: At Booz Allen, we power possibility for our clients facing their toughest challenges. Our cross-domain team of consultants, technologists, researchers, engineers, and…
Position Title: Client Sales Support (English Services) (Telework/Hybrid) Status of Employment: Temporary Long-Term (Durée déterminée) Position Language Requirement: English Language Skills: English (Reading - C -…
GPU Software Engineer (CUDA)– Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Job Description Title: Assistant Sales Manager Reports To: Director, TCS North & South America Location: Houston, TX FLSA Status: Exempt Who We Are: Triton International is the world's largest lessor of…
Optimize machine learning models for training and inference at a quantitative trading firm, focusing on low-level GPU, networking, and system-level performance tuning.
ML engineer/researcher at Lamb Labs developing extreme low-bit (1–2 bit) quantization and inference methods for large language models — covering weight/activation quantization, KV-cache and attention optimization, and QAT/PTQ/distillation — to make models run efficiently on the company's custom AI chip (MPU), working directly with FPGA/ASIC engineers. Core tools: Python and PyTorch.
Build and optimize Cerebras' GPU-based AI inference stack, integrating vLLM, ROCm, and AMD GPUs to deliver ultra-low-latency, high-throughput LLM serving for production workloads.
Senior data engineer on Apple's Services Special Projects team building a massive real-time platform that turns multimodal data streams (structured, image, log) into an intelligent, searchable foundation. Day-to-day: designing large-scale ETL/ELT pipelines with Spark, Kafka, Flink and AWS, integrating ML/LLM inference for data enrichment powering Apple services at billions-of-customers scale.
