科技職缺
職缺列表
Senior Quantitative Research Manager
About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a…
Backend Tech Lead
Backend Tech Lead at product company JATAPP owning backend and DevOps technical strategy, leading a platform team via second-line management, and serving as technical authority for payment flows, S2S attribution, App2Web/Web2App infrastructure, and high-load systems across a 20+ product portfolio.
ML Engineer
ML Engineer designing and shipping AI agents and multi-agent architectures on Python/LLM frameworks (LangChain, LangGraph) for a major Russian bank's marketing tech project. Day-to-day: build async backend services, integrate via REST, Kafka and Model Context Protocol, and implement RAG with vector databases.
Data scientist / ML-инженер
Data scientist / ML engineer at IBS building NLP services and AI assistants based on generative LLMs (BERT, Qwen, GPT). Day-to-day work spans RAG pipelines, LLM fine-tuning (SFT/LoRA/RLHF), and deploying ML services with Docker/Kubernetes, GitLab/Jenkins CI/CD, and Prometheus/Grafana monitoring.
Advertising Operations Manager
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely…
Senior LLM Inference Backend Engineer
Design and scale a production GPU-powered LLM inference platform (Nvidia, vLLM, SGLang) serving tens of thousands of users, while also building applied AI products like code assistants, chat, and code-review tools using Python and FastAPI.
[대전] FullStack Engineer (Java, 3년이상)
FullStack developer maintaining and enhancing PCFILTER, the company's core DLP management server. Day-to-day work spans Java/Spring Boot backend and JavaScript/JSP/Thymeleaf frontend, analyzing customer requirements, designing features, and collaborating with tech-support and sales teams.
영농 에이전트 및 스마트파밍 플랫폼 백엔드 개발자 (Backend Engineer)
Backend engineer building a farming AI agent service and smart-farming dashboard platform—designs REST APIs, integrates LLM/AI services with IoT/sensor data, and uses AI coding agents to ship React/Next.js frontends. Core stack: Java/Spring Boot, MySQL/PostgreSQL/Redis, AWS.
Senior Data Scientist
Data Scientist turning industrial sensor data into actionable insights via anomaly detection and predictive maintenance models, plus AI/ML integration. Works on customer digitalization projects in Espoo/Tampere using Python, SQL, Power BI, and AWS/Azure/GCP.
Middle AI/ML Engineer (#5128)
Middle AI/ML Engineer building AI-driven solutions within the Palantir Foundry and AIP ecosystem. Day-to-day work centers on developing ML and LLM-based solutions using Python, integrating them into Foundry workflows to support analytics, automation, and decision-making for enterprise use cases.
MLOps-инженер
MLOps engineer deploying and operating ML/LLM models in production on Kubernetes (CPU/GPU). Owns the full lifecycle — inference engines (vLLM, Triton, BentoML), CI/CD and GitOps, RAG pipelines with vector DBs, monitoring/observability, and MLSecOps practices.
DevOps Engineer
DevOps Engineer developing the company's proprietary cloud platform end-to-end — from infrastructure and CI/CD automation to monitoring and incident response — with exposure to locally deployed LLMs and MCP servers alongside classic DevOps tooling.
Senior Python Backend Engineer
Senior Python backend engineer building and operating production services for an iGaming SaaS platform — APIs, stream consumers, pipelines, feature stores, and background workers — with a stack centered on Python, Kafka, Redis, Docker, Kubernetes, and PySpark.
Applied AI Engineer (Squad Lead)
Lead a squad building production-grade GenAI agents and applications end-to-end for a hyper-scale fintech trading platform. Day-to-day work spans LLM orchestration (RAG, multi-agent, tool-calling), cloud-native AI pipelines, vector databases, and full-stack development with AI-native tools like Cursor.
Тимлид Data Science/ML
Lead a DS/ML team (engineers, data scientists, backend devs) delivering end-to-end AI projects for a corporate IT arm: LLM/RAG pipelines, NER, classification, semantic search and fine-tuning, plus MLOps in production. Stack: Python, PostgreSQL/ClickHouse/Vertica, Airflow, Kafka, Jira/Confluence.