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Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
The Manager of Data Science will lead analytical initiatives to optimize digital customer acquisition for American Express, utilizing SQL, Python, and machine learning models. The role focuses on leveraging data and emerging AI to enhance personalization, targeting, and conversion strategies across digital channels.
Builds and deploys predictive models for underwriting, pricing, claims, and customer retention using Python, SQL, and ML libraries while collaborating with actuarial and product teams to solve business problems.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Develop ML solutions on large-scale healthcare datasets for disease detection and patient outcome prediction, and translate client requirements into production analytics for pharma clients using Python, supervised ML methods, and ETL pipelines.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Build and maintain production machine learning systems that generate trusted signals for recommendations, ranking, risk decisions, and customer intelligence at a fintech company.
Design state-of-the-art ML models and large-scale systems for Stripe Capital’s underwriting and portfolio management, using PyTorch and TensorFlow, while building scalable pipelines and collaborating with product partners.
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Обязанности: Тебе предстоит развивать внутреннюю систему для автоматического анализа текстовых документов с применением больших языковых моделей (LLM): - Разрабатывать и внедрять различные сценарии анализа текстов…
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Builds and maintains credit risk/repayment models for Clair’s fintech platform, using ML to assess risk, predict user behavior, and optimize credit decisions. Works with transaction data, deploys models in production (AWS/Snowflake), and collaborates with product/risk teams.
A Senior Data Scientist builds and refines predictive models (e.g., lead scoring, MMM) using web behavior data, AWS, and analytics tools to drive client decision-making and optimize digital marketing performance.
Lead AI/ML projects for clients, designing and deploying agentic systems, ML models, and cloud-native solutions while advising on technical architecture and delivery at scale.
Leads AI and technology consulting engagements for enterprise clients, designing and delivering scalable AI/ML solutions while managing teams and client relationships in sectors like energy, financial services, and government.
Senior Data Scientist to optimize Delivery Hero’s global last-mile logistics using ML and operations research, improving delivery efficiency for riders, customers, and merchants.
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