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Design and scale real-time data pipelines for AI systems, including RAG pipelines, vector databases, and semantic layers to power agentic AI reasoning over enterprise environments.
Design and scale real-time data pipelines for AI systems, including RAG and vector databases, to power agentic reasoning over enterprise IT environments.
Builds responsive web and mobile UIs with React/React Native while integrating AI features like LLMs, prompt engineering, and agent workflows to create intelligent user experiences.
Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Lead the strategy and delivery of an AI platform for healthcare, building LLM/SLM-powered automation, RAG pipelines, and trustworthy AI workflows to reduce administrative burden and improve clinical decision-making.
Designs, builds, and supports enterprise-scale fintech applications using Java/Spring Boot microservices, Angular/React frontends, and cloud/AI tools for banking systems.
Designs and deploys AI/ML and LLM-based systems for fintech applications, integrating models into scalable cloud-native solutions using Python and AWS.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
Designs, builds, and maintains scalable data platforms and production-grade data systems, owning end-to-end pipelines and architectures for operational, analytical, and AI-driven use cases.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build and deploy AI models (LLMs, NLP, computer vision) for insurance use cases using Python, TensorFlow/PyTorch, and cloud platforms like Azure.
The ML Ops & LLM Ops Engineer will design and manage deployment architectures for AI solutions on AWS, focusing on CI/CD, infrastructure as code, and production-grade LLM/agentic application scaling. This role involves working as a forward-deployed engineer within enterprise client environments to ensure secure, observable, and efficient AI service delivery.
The Engineering Lead will spearhead the evolution of data technologies through Applied AI, designing and delivering scalable software solutions while managing teams and technical strategy. The role requires expertise in AWS, Python, and modern AI frameworks like LangChain and RAG to drive innovation within the bank's digital landscape.
Lead a team of 3-6 AI scientists in BlackRock's AI Labs, owning end-to-end delivery of agentic AI workflows and flagship ML initiatives from scoping through production deployment, primarily using Python, LLMs, and AI/ML systems.
The Staff Software Engineer will lead the architectural design and development of large-scale distributed systems for an e-commerce platform. This role involves integrating AI and machine learning technologies while mentoring engineering teams to ensure high-performance, scalable, and secure software delivery.
The Lead AI Engineer will design and implement LLM-enabled systems, including RAG architectures and agent workflows, while establishing technical standards and CI/CD pipelines for AI services. The role involves leading engineering teams to deliver scalable, secure, and observable AI solutions on AWS within a regulatory environment.
The Lead Data Scientist will design, implement, and deploy advanced machine learning, generative AI, and agentic AI solutions to address complex healthcare business challenges. This role involves leading technical strategy, mentoring data scientists, and ensuring scalable, governed AI products are successfully integrated into production environments.
The Data Scientist Consultant will analyze complex, unstructured data to build and deploy machine learning models and AI-driven solutions for clients. The role focuses on leveraging Python, SQL, and modern AI frameworks like LLMs and RAG patterns to create actionable business insights.
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