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Lead a team to build and maintain data products and analytics infrastructure for B2B marketing analytics, using Python, Spark, Snowflake, and cloud platforms to enable data-driven decisions.
Intern Data Scientist building ML pipelines for insurance risk scoring, testing deep-learning models, and fine-tuning language models to power a digital assistant.
Deploy and maintain an AI platform across cloud GPU, managed services, and on-premise setups using Kubernetes, CI/CD, and cloud-native tools.
Senior Data Analyst at Kaspi.kz builds end-to-end analytics—from hypotheses to ML models—to drive product and business decisions using sales, conversion, and customer behavior data.
Build and deploy a data-science system that powers UK property insights, using Python, Azure, Docker, and PyTorch.
Build and deploy ML models in Python to solve business problems, working with stakeholders to productionise scalable analytics solutions.
Senior Data Scientist Consultant designs and delivers AI/ML solutions for public sector and enterprise clients, from prototyping to production deployment, using Python, PyTorch, and MLOps.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Build and maintain AI models in Python to turn raw data into business decisions, then explain results to non-technical stakeholders.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Build and ship ML and generative-AI systems that power decisions across Delivery Hero’s platform, from recommendation engines to LLM-driven automation, owning the full lifecycle from modeling to production.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Senior Data Analyst/Data Scientist builds fraud-detection models and reports for a fintech/payments product, analyzing transactional data to spot anomalies and recommend business actions.
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