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Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
Build pricing, forecasting, and recommendation models for a B2B wholesale marketplace using Python, SQL, and econometric techniques.
Staff ML Engineer builds AI-generated content quality frameworks and agentic loops to ensure factual, fresh, and engaging content for Google’s proactive surfaces like Discover and Notifications.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Senior Data Analyst building pipelines and metrics for Gen AI and Recommendation Systems, owning data models and feature stores to power ML models and dashboards.
Build and deploy ML models that rank lodging search results for Expedia’s travel platforms using Python and AI/ML frameworks.
Role Specific Information Job Description About the Role As Associate Manager, Digital Customer Experience and Innovation, you will drive the execution of next-generation digital customer experience initiatives that…
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Build and deploy ML models to personalize Autodesk’s B2C eCommerce experience, from segmentation and recommendations to A/B testing and churn prediction.
Build and deploy AI/ML models and analytics for defense health programs, using Python, SQL, and cloud services to deliver predictive insights and decision-support tools.
The Product Manager for Content Ranking at Snapchat shapes how short-form video and user-generated content is discovered, ranked, and surfaced to users while balancing engagement, safety, and cultural relevance. They own the strategy, roadmap, and metrics for content recommendation systems, collaborating with engineering, data science, and policy teams to build scalable, privacy-first features.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Build and scale Reddit’s next-gen AI-powered search engine, integrating LLMs and retrieval systems to deliver conversational answers and improve relevance for millions of daily users.
Own the product strategy and roadmap for recommendation systems that personalize health and wellness guidance, partnering with AI/ML and behavioral science to drive engagement and behavior change.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build the AI intelligence layer for a professional-services SaaS platform, turning operational data into predictive staffing, forecasting, and agent-driven workflows.
Build and deploy ML models to match renters with properties, optimize marketplace performance, and drive revenue growth using Python, SQL, and ML frameworks.
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