科技職缺
職缺列表
LlmOps-DevOps
Deploy and operate LLM/generative models in production at cloud.ru. Picks inference engines (vLLM, TensorRT-LLM, Triton, TGI), tunes parallelism, batching, KV cache and quantization, manages GPU/CUDA workloads on Kubernetes, and monitors latency and throughput.
Senior AI Agent Engineer
Design and deploy LLM-based AI agents that automate customer-support interactions in Sber's contact center, building dialog-system architecture, RAG pipelines, and MLOps workflows using LangChain.
Senior Software Engineer, Google Cloud
Senior SWE at Google Cloud building domain-specific conversational AI agents for public-sector verticals (Agriculture, Education). Owns design and implementation of distributed, cloud-native features as an AI-first engineer, using Go or Python with CI/CD rigor.
Senior Software Engineer, XR World Context
Senior engineer on Google's XR team designing and deploying lightweight scene representations for world-facing context on XR glasses, fusing ego-centric datasets and foundation models (Gemini/Gemma) for real-time, on-device spatial AI.
Senior Data Scientist
Designs ML architecture for an ecosystem of intelligent agents that automate business processes at Sber, working across backend, ML, and frontend. Core stack: Python, PyTorch/TensorFlow, LLMs (GPT, LLaMA, Kandinsky), enterprise RAG, fine-tuning, prompt engineering, and MLOps (MLflow, Kubeflow).
NodeJS Developer
Node.js backend developer for WP SEO AI, an AI-powered platform for SEO optimization and content generation. Builds backend services with Node.js, TypeScript, Express, Redis, BullMQ, and integrates LLMs via LangChain.
SoC AI Design Verification Engineer, Google Cloud
Design verification engineer on Google's custom AI silicon (TPU/SoC) team, building constrained-random SystemVerilog/UVM environments and formal verification flows to validate digital blocks through tape-out.
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
Ai Engineer
AI Engineer role driving the design, architecture, and implementation of AI solutions and systems, collaborating with product and technical teams to integrate emerging technologies. Core stack spans GCP, LLMs, RAG, RESTful APIs, OCR, and Generative AI.
ML Engineer
Remote freelance ML Engineer designing, developing, and optimizing machine learning models, integrating them into production systems, and collaborating with data scientists and software engineers. Core stack: Python and ML.
ML Engineer
Remote freelance ML Engineer designing and implementing machine learning models for the ML Architect project to drive data-driven decision-making; analyzes large datasets and collaborates with cross-functional teams. Core tech: Python.
senior machine learning
Freelance senior machine learning role focused on implementing scoped ML sub-features and pipelines under mentor review, with hands-on work in TensorRT-LLM, Keras, and AWS-based deployment.
Conversational AI Engineer
Remote conversational AI engineer building and maintaining AI-driven chatbots and dialogue systems, applying NLP, GenAI, and LLM techniques while partnering with ML teams and advising customers on best practices and demos.
AI Engineer
Remote freelance AI Engineer building ML and GenAI-powered applications (chatbots, dialogue systems, LLM/agentic workflows). Day-to-day work spans Python/JS development, model lifecycle (training, deployment, REST scoring), and cloud (AWS/Azure/GCP).