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AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
The Research Scientist will conduct research on efficient and sustainable AI technologies, focusing on the development and optimization of large language models and multimodal foundation models. This role involves collaborating with interdisciplinary teams to create real-world sustainability solutions and publishing findings in top-tier academic venues.
The Research Scientist will conduct research on energy-efficient and scalable AI technologies, focusing on the training and inference of large language models for sustainability applications. The role involves developing novel algorithms and system-level innovations using Python and frameworks like PyTorch.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
Role Overview We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery…
The Senior Machine Learning Engineer will design, develop, and deploy machine learning and generative AI models into production environments. The role involves building scalable pipelines, fine-tuning LLMs, and collaborating with cross-functional teams to integrate AI solutions using technologies like Python, PyTorch, and Azure.
The Principal Software Engineer leads the AI platform team at Parametric, designing and operationalizing generative AI solutions using LLMs, RAG, and transformer architectures. This role manages engineering staff and builds scalable, compliant platform-level services to support AI development across the organization.
The Senior Machine Learning Engineer will develop and deploy production-grade GenAI applications, including LLM-based solutions, RAG systems, and agentic workflows, to support various business lines at RBC. The role involves building scalable ML infrastructure and collaborating with cross-functional teams to deliver impactful AI solutions.
The Staff AI Engineer will design and deploy scalable AI systems for an enterprise analysis platform, focusing on LLM optimization, model training, and infrastructure. The role involves collaborating with cross-functional teams to integrate AI into banking products using technologies like AWS, PyTorch, and vector databases.
The Lead AI Engineer will design and deploy scalable GenAI platform services, including agentic AI, guardrails, and model evaluation, to enhance banking products. The role involves optimizing LLM performance and infrastructure using technologies like PyTorch, AWS, and vector databases.
Staff AI Engineer at Capital One designing, developing, and deploying AI infrastructure including foundation model training, LLM inference, guardrails, and evaluation systems using Python, AWS, PyTorch, and related ML technologies.
Develop and deploy machine learning and generative AI applications—including LLMs, RAG pipelines, and GenAI services—using Python, PyTorch, Azure, and vector databases in an on-site role at HP.
The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and…
Mid-to-senior Data Scientist covering the full ML/AI lifecycle—traditional ML, LLMs, RAG, and agentic AI workflows—deployed on AWS with MLOps practices, for a US insurance-focused company's Belfast hub.
Build and scale enterprise-grade generative AI systems using Python, AWS, and frameworks like LangChain; design agentic workflows, RAG pipelines, and secure AI services for Fortune 500 clients.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Rerun is building the data layer for physical AI. Robots, drones, and self-driving cars all run on physical data: multimodal, multi-rate sensor streams tied to time, space, and embodiment. Data infrastructure built for…
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