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Senior Data Scientist builds and deploys AI/ML models and data pipelines for financial analytics, partnering with ops and tech teams to deliver scalable, data-driven solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Build predictive models and analyze customer data to tailor loan offers, optimize marketing campaigns, and drive conversions for a consumer-credit bank.
Build ML models (vision, language, speech) for game agents, player safety, and Unreal Engine tools; prototype with PyTorch and deploy at scale.
Build ML models for game agents, player safety, and UX improvements using vision, language, and speech processing in Unreal Engine’s research team.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Build and optimize search relevance, retrieval, and ranking models for a neighborhood social network using ML and LLMs, partnering with engineering and product teams.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build and deploy AI/ML models to detect anomalies, forecast demand, and optimize pricing for a global FMCG company using Python, SQL, and cloud tools.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Data scientist validating and improving ML scoring models for B2B credit risk at a fintech bank, translating model outputs into limit strategies and monitoring portfolio performance with Python, SQL, and Airflow.
Build and deploy AI agents for supply-chain orchestration, integrating them securely with legacy systems using Python, GCP, and Vertex AI while optimizing token usage and performance.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Build and deploy AI agents for supply-chain optimization, integrating them securely with legacy systems using Python, GCP, and Vertex AI Agent SDK.
Analyzes B2B SaaS product data for VK WorkSpace, builds ETL pipelines, calculates metrics, and runs A/B tests to guide product decisions.
Build predictive risk models (credit, financial, operational) using Python/R to forecast NPV, FX, liquidity, and uncertainty for a fintech company.
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