科技職缺
職缺列表
DevOps-инженер
DevOps engineer at Sber IT building Process as Code automation services for product teams and SREs, optimizing CI/CD pipelines and ensuring observability. Core stack: OpenShift/Kubernetes/Istio, Prometheus+Grafana, Jenkins/ArgoCD, ELK, Python/Go, Ansible, Linux.
Архитектор IAM/IDM
Senior IAM/IDM Architect at GNIVC designing service-account management and secure inter-service communication architecture for the Russian Federal Tax Service's AIS 'Nalog' platform. Core work spans OAuth 2.0, OIDC, mTLS, JWT, PKI, microservices, Kubernetes, and Zero Trust principles.
SRE-инженер (PAM)
Administers and supports high-availability, high-load Linux services centered on PAM. The SRE engineer develops monitoring, CI/CD, security, and disaster-resilience practices, resolves incidents, and evolves service architecture using Ansible, Terraform, Kubernetes, Prometheus, and Grafana.
AI Engineer
Develops AI services and agents (LLM, RAG, GenBI, Voice AI, Copilots) for ForteBank's banking platform, building Python backend microservices integrated with banking systems. Core stack includes Python, LangGraph/LangChain, OpenAI/Azure AI, FastAPI, PostgreSQL, Redis, Kafka, and Docker/Kubernetes.
Cloud Data Engineer
Remote Cloud Data Engineer designing and implementing data pipelines, cloud data architecture, and integration solutions across platforms. Core stack is Salesforce, Salesforce Data Cloud, and Python, with cross-functional collaboration on scalable, high-availability data systems.
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).
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).
Ai Engineer
As a freelance AI Engineer at Expertshub.ai, you will define AI strategy, architect scalable AI systems, and modernize services using ML, deep learning, NLP, and computer vision while working fully remote with agile teams.
Backend Software Engineer
Remote backend engineer who designs and ships scalable Python microservices and RESTful APIs that integrate with Blazor frontends on Azure cloud. Day-to-day work spans architecture design, code reviews, performance tuning, Docker-based containerization, and cross-team collaboration with frontend, DevOps, and product.
Senior Enterprise AI Architect
Senior architect designing and governing enterprise AI solutions, leading delivery strategy, architecture, and governance across remote teams using LLMs, RAG, multi-agent systems, and Model Context Protocol on AWS, Azure, and GCP.
Architect
Principal Architect leading architectural initiatives across IT projects, translating business objectives into actionable plans and establishing reference architectures, governance, and delivery standards. Core stack spans AWS, Azure, GCP, Java, Go, React, Kubernetes, Docker, Terraform, and GenAI.
AI Architect
Remote freelance AI Architect shaping engineering architecture for high-scale systems, mentoring cross-functional teams, and driving AI/ML adoption using Python, AWS, Azure, Django, Docker, microservices, and MLOps.
Lead AI/ML Engineer
Lead AI/ML Engineer defining multi-year technical strategy and architecting mission-critical AI/ML systems for millions of users while mentoring teams and partnering with C-level leadership. Core stack spans Python, PyTorch, TensorFlow, LLMs/GenAI, RAG, and NLP on AWS/GCP/Azure with Kubernetes, Docker, and MLOps/DevOps.
Machine Learning Engineer
A remote Machine Learning Engineer designs and implements ML models, collaborates with data scientists and engineers to integrate algorithms into products, and experiments to improve model performance. Core stack includes Python, TensorFlow, Scikit-learn, deep learning, NLP, and AWS.
SRE/Cloud Engineer/ Devops
Keeps applications available, scalable, and observable by automating cloud infrastructure, managing infrastructure as code, and leading platform modernization and system migrations. Core tools include Docker, Kubernetes, Terraform, Azure, Grafana, Prometheus, and CI/CD.