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Build and maintain large-scale data pipelines for ML systems that power recommendations and ads, using Python, Spark, Airflow, and GCP.
AI Operations Specialist implements and optimizes AI workflows for business efficiency, coordinates cross-functional projects, and tailors AI tools to meet operational needs.
Senior Data Engineer builds scalable AI components—multimodal embeddings, MCP servers, and agent tools—turning experimental models into robust, production-grade systems for WPP’s global adtech platform.
Product Manager to integrate AI into business processes, build AI-driven products for sales, marketing, finance, legal, and operations, and scale solutions using LLM, RAG, or AI agents.
Principal Solutions Architect for Nebius’s AI cloud platform, owning presales and technical delivery for large-scale ML/AI workloads across the Middle East, engaging with enterprise and government customers.
Lead red-team exercises to simulate real attacks on Bybit’s crypto exchange, cloud, and AI systems, then turn findings into detection rules and security tooling.
Middle Python developer building and improving AI agents for corporate real-estate and office-management products using LangChain/LangGraph, FastAPI, and vector databases.
The Apigee Cloud Engineer will design, deploy, and automate API management workflows on Google Cloud Platform (GCP) using Apigee X. This contract role focuses on configuring API proxies, implementing security policies, and maintaining CI/CD pipelines for enterprise integrations.
Develop secure, responsive React-based user interfaces for an autonomous cybersecurity SOC platform, collaborating on backend design and establishing frontend standards.
Lead the design and scaling of AWS/Kubernetes infrastructure for an AI cybersecurity platform, combining hands-on engineering (IaC, CI/CD, SRE) with team leadership to ensure security, reliability, and developer productivity.
Intern in Sberbank’s ESG AI team building ML models for satellite data, NLP, and multi-agent reporting systems, plus interactive dashboards and RAG chains with LLM.
Lead a team building production-ready AI models—computer vision and small language models—for Windows, optimizing for edge-device constraints like latency and power.
Разрабатывает метрики удовлетворённости пользователей для поиска, обучает ML-модели на данных о поведении и преобразует предсказания в ключевые метрики продукта.
QA Engineer performs manual testing for AI-driven coding agents, validating web/mobile apps, APIs, and production releases while logging bugs in JIRA and collaborating with cross-functional teams.
Product Designer owning end-to-end design for an AI-native platform that builds autonomous coding agents generating production apps from plain-language intent.
Frontend engineer owning the architectural vision for high-scale products, using React.js, TypeScript, and modern state management to build the UI for an AI-driven software creation platform.
Forward Deployed Engineer at Emergent Labs builds and deploys AI-powered software solutions directly with US and European customers, troubleshooting integrations and workflows to scale production applications.
Data Scientist at Emergent Labs in Bengaluru turning unstructured AI agent data—trajectories, prompts, logs—into structured signals via ML pipelines, predictive modeling, and product/growth analytics to drive decisions at scale.
Build and deploy ML models on cloud big data platforms (PySpark, Hive, AWS/GCP) to deliver predictive, prescriptive and generative analytics for Vodafone’s global telco operations.
Corporate architect at Sberbank designs and maintains target application architectures for digital product development, integrating AI tools and ensuring alignment with business initiatives in a high-load banking environment.
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