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Build and scale AI pipelines that generate, evaluate, and optimize interactive ad creatives using LLMs, VLMs, and multimodal models to boost engagement and conversions for global apps and games.
We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital…
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
Design and deploy cloud infrastructure for AI/ML workloads, collaborating with customers to optimize performance, security, and cost while troubleshooting production issues.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
Develop Python tools and libraries to optimize, deploy, and benchmark neural networks for embedded and mobile devices, contributing to open-source AI frameworks like PyTorch or TensorFlow.
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Build and deploy AI-powered tools (RAG, LLM workflows) to improve efficiency, mentor engineers, and guide AI architecture for a growing product team.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative tools, processing billions of assets in real time.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Lead a team to design and deliver production-grade AI solutions using machine learning, generative AI, and agentic AI for clients in government, healthcare, and defense.
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