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Привет! TOPCASE открывает двери для ML-инженера! Представьте мир, где ваш код не просто работает — он меняет жизнь к лучшему. Это место, где разработка софта — это искусство, а программный продукт помогает людям. Если…
Designs, builds, and deploys generative AI solutions using large language models on Microsoft Azure, focusing on cloud-native architectures and prompt engineering.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while calibrating sensors and testing in real-world construction sites.
Build and deploy AI-powered applications using Python/TypeScript, focusing on practical solutions with LLMs, RAG, or fine-tuning as needed.
Build vision-language-action and reinforcement learning models for real-world robotic systems, training policies that generalize across hardware and deployments.
Build and fine-tune LLMs and agentic AI systems that power Lyft’s safety and customer-care workflows, using post-training, agent frameworks, and evaluation pipelines to handle millions of interactions.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Lead the build and scaling of a multi-tenant agentic AI platform, coding production-grade components in Python/Angular and guiding the team’s technical strategy while enforcing clean architectural patterns.
Lead the design and delivery of responsible agentic AI systems for a digital bank, embedding fairness, safety, and regulatory compliance into production LLM-powered applications and platforms.
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Lead a small team to design, build, and deploy production-grade generative AI systems using Python, RAG pipelines, vector databases, and cloud platforms while mentoring engineers and aligning solutions with business goals.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Madrid is fast becoming one of Europe’s key data centre hubs - and with liquid cooling rolling out across hyperscale sites, there’s no shortage of critical work ahead. This role puts you at the heart of it all, working…
Build and refine AI models for mineral exploration using Python, PyTorch, and agentic systems to process geological data and support sustainable resource discovery.
Build and maintain low-level network software in C/C++/Python that controls physical-layer connectivity, telemetry, and hardware interfaces for Arista’s switches and optics.
Builds and deploys GenAI applications using LLMs, fine-tuning models, and integrating MLOps pipelines for production systems like chatbots and document analyzers.
About the Role Sanas is looking for a Member of Technical Staff to lead the post-training and deployment of large language models across a new generation of self-hosted, sovereign-deployed products. This is a rare…
Build and scale GenAI services that power Adobe Firefly and Express, optimizing GPU cost/throughput and serving custom models at scale for Creative Cloud users.
Build and deploy large-scale AI foundation models for machine-generated data (logs, graphs, time series) to improve reliability, security, and predictive insights across Splunk’s observability and security platforms.
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