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About Lodestar Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is our hardware-agnostic, AI-enabled autonomy…
Lead AI product engineering for generative AI models at a large healthcare company, developing and deploying novel AI features.
Designs and deploys AI/ML models in Python for scalable solutions, collaborating with cross-functional teams to integrate AI into healthcare and business processes while ensuring ethical standards.
Design and deploy production-grade machine learning models and MLOps pipelines for enterprise clients across energy, financial services, and other sectors, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/Azure/GCP.
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Designs and scales GenAI-powered applications for ZEISS, focusing on enterprise-grade solutions like copilots, agents, and smart workflows using Azure and LLMs.
job Summary: (Overall purpose and objective of the job) The Enterprise AI Engineer is responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance…
Senior ML Engineer at Truecaller will optimize ML model training and deployment, focusing on mobile platforms, and collaborate with teams to establish best practices. Core technologies include TensorFlow, PyTorch, ONNX, and mobile ML frameworks like TensorFlow Lite and Core ML.
Разработка мультиагентной AI-системы для раннего выявления рисков в сегменте микробизнеса. Сбор данных, обучение LLM-агентов, построение прогнозных моделей и интеграция решений с финансовыми департаментами.
Day-to-day: adapt neural models (NLP/CV) for bank tasks, prep datasets, train on GPU, develop LLM/multimodal pipelines, deploy. Core tech: Python, PyTorch/TensorFlow, GPU.
Investigates and mitigates abuse in Chrome extensions via technical analysis, reverse engineering, and AI-driven detection systems to protect users and the platform.
Build and deploy ML models, design data pipelines, and create dashboards to turn large datasets into business insights using Python, R, and modern AI frameworks.
About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready…
Зарплата: до 75000 RUR (до вычета налогов) Стань частью одной из лучших транспортных систем мира и управляй движением города в ИТ-команде с первого дня! ИТ-стажировка в Московском транспорте — это 6 месяцев работы над…
Machine Learning Engineer leading the full lifecycle of ML models (LLMs, predictive models) from research to production, using Python, TensorFlow, and PyTorch in Abu Dhabi.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Develop front-end applications using Angular, integrating AI/ML models and APIs to enhance user experience, working with cross-functional teams to implement and optimize AI-powered features.
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
Intern develops and evaluates deep learning models for computer vision tasks like image segmentation and 3D reconstruction to inspect infrastructure, working with PyTorch/TensorFlow in a startup focused on AEC industry tech.
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