科技職缺
職缺列表
ML Engineer (Middle+/Senior)
Design and ship ML models for a high-load personalization and marketing platform serving millions of users — uplift modeling, offer scoring, mathematical optimization, and end-to-end MLOps pipelines in Python/SQL with MLflow and PuLP/CVXPY/OR-Tools.
Machine Learning Engineer
Build and deploy ML pipelines at Darwill using Databricks, covering training/serving workflows, feature engineering, model monitoring with drift detection, experiment tracking, and A/B testing for marketing models.
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-инженер
Remote DevOps engineer on a 6-month ML infrastructure project — building CI/CD with GitLab, managing Docker/Kubernetes, monitoring with Prometheus/Grafana, and supporting MLflow-based model serving for an offer scoring and uplift modeling platform at a Russian banking/fintech IT vendor.
Senior Data Scientist, Anti-Fraud, Ozon Bank
Senior Data Scientist building and maintaining end-to-end anti-fraud ML models (onboarding and transactional) for Ozon Bank credit products, including graph analytics, production monitoring, and integration of external scoring sources.
Data Architect
Design, evolve and govern the enterprise data architecture for a trader-facing analytics platform — spanning real-time streaming, Data Lake/Lakehouse, and AI/ML-ready infrastructure — while setting data standards and mentoring data engineers.
Senior Data Scientist (Факторы ранжирования LLM)
Senior Data Scientist on Ozon's Ads ranking team, building and deploying custom neural networks (transformers and LLMs) for ad auction models that predict user behavior across search, catalog, and recommendations.
DevOps / MLOps Engineer (Platform V AI-платформа)
Ищем DevOps / MLOps Engineer для построения, эксплуатации и сопровождения инфраструктуры AI-платформы. Специалист будет отвечать за развертывание LLM-моделей, поддержку Python/Java-приложений, баз данных, CI/CD…
Data Scientist
Data Scientist at Lunar, a Nordic challenger bank in Aarhus, designing and deploying ML models for fraud detection, transaction monitoring, risk scoring, and growth. Core stack: Python with scikit-learn/TensorFlow/PyTorch, MLflow and Metaflow, on AWS SageMaker/Kubeflow.
Software Engineer I, Applied AI Solutions
Hands-on engineering role designing and building production-grade Generative AI, RAG, and agentic workflow solutions for Thermo Fisher Scientific. Uses Python, FastAPI, LLMs (Azure OpenAI, Anthropic Claude), vector stores (PostgreSQL/pgvector, Qdrant), and cloud platforms.
AI Architect
Design end-to-end AI and Agentic AI architectures for enterprise systems, collaborating with cross-functional teams to build scalable, secure, and governable solutions. Core stack spans cloud platforms (Azure, AWS, GCP), MLOps tooling, and agentic AI frameworks like LangChain and CrewAI.
Solution Architect
Solution Architect for a consulting firm designing multi-cloud (AWS/Azure/GCP) and Generative AI/Agentic AI platforms for clients. Owns end-to-end solution architecture spanning applications, data, integration, security, infrastructure, and LLMOps, with hands-on POCs and stakeholder leadership.
Solution Architect
Solution Architect / Technical Lead designing enterprise-grade multi-cloud and GenAI solutions across AWS, Azure, and GCP. Owns end-to-end architecture for applications, data, integrations, security, and observability, with deep focus on RAG, AI agents, and LLMOps while leading client POCs and MVPs.