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Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Customer Engineer specializing in AI/ML who partners with sales teams to design cloud solutions, troubleshoot technical issues, and guide enterprise customers through Google Cloud adoption.
A Junior/Middle Computer Vision Engineer curates large-scale image/video datasets, manages annotation workflows, and runs model training/evaluation jobs. They collaborate with senior engineers to analyze model failures and improve data/algorithms, supporting AI/ML lifecycle tasks for production deployments.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Build and deploy AI models end-to-end, from data pipelines to production, using Python and frameworks like TensorFlow or PyTorch.
Develops synthetic datasets and pseudo labels for autonomous drone ML models, using open-source AI tools to generate stereo images and filter large datasets for depth perception training.
Designs AI agents and automated workflows to streamline Google’s launch and governance processes, reducing developer toil and accelerating feature delivery via AI-driven solutions.
Зарплата: от 170000 RUR (на руки)
Job title: Senior AI/ML Ops Engineer Work location – Cupertino, CA-Hybrid Contract duration -Long term contract Visa:- / only Skill Set Job Description Senior AI/ML Ops Engineer Agent Evaluation, Observability &…
Intern designs and deploys MLOps platforms, automates observability and resource management, and ensures reliability for ML training and inference systems.
Develop AI agents and LLMs to automate and optimize e-commerce supply chain and logistics workflows, focusing on multimodal understanding and cost-efficient inference.
Build and optimize LLM-based systems for e-commerce supply chain logistics, including RAG, agent workflows, and multimodal understanding.
Develops AI models for e-commerce logistics, including address verification, sales forecasting, and package trajectory prediction using NLP, LLMs, and deep learning.
Build and evaluate LLM-based agent systems for e-commerce supply chain and logistics workflows using reinforcement learning and retrieval-augmented generation.
Develops advanced LLM-based agent systems for e-commerce supply chain logistics, focusing on task automation, multimodal reasoning, and real-time optimization of workflows like address correction and trajectory prediction.
Builds ML models for e-commerce supply chain forecasting, logistics optimization, and demand prediction using time series, deep learning, and NLP/LLM techniques.
Мы разрабатываем алгоритмы анализа биометрических данных для Умного кольца Сбер. Данные сенсоров носимых устройств сильно зашумлены и зависят от активности пользователя, положения устройства и индивидуальных…
The Adversarial ML Engineer will focus on AI red-teaming and guardrails for foundation models, designing and training models to address security vulnerabilities. This role involves working across data pipelines and API layers to provide remediation guidance and retesting in a fully remote environment.
This role involves performing adversarial testing and red teaming on foundation models and AI systems to identify and remediate security vulnerabilities. The engineer will design and train ML models and SLMs while collaborating with client teams to ensure robust security across model, application, and data pipelines.
Lead a team of ML/AI engineers, owning the ML/AI product vision and translating local models into enterprise-grade products on PureFacts' SaaS platform using Python, ML frameworks, MLOps, and Azure cloud infrastructure.
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