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Designs and deploys production-grade AI solutions by integrating AI prototypes into RTX’s AI Factory infrastructure, ensuring scalability, security, and compliance with enterprise standards. Core focus: cloud-based AI/ML pipelines, microservices, and DevOps automation.
Bridge between Data Science and business at Gap Inc., driving AI/ML model adoption across brands by translating model outputs into commercial narratives, managing stakeholder relationships, and building adoption dashboards using SQL, Python, and BI tools.
Analyzes insurance data to drive pricing and performance decisions for major UK brands like Tesco and Lloyds, building dashboards and models to support insurer relations and marketing strategies.
Designs and deploys AI/ML models and platforms in Azure, integrating generative AI and LLMs into customer workflows via APIs and copilots to drive data-driven decisions.
Solutions Architect on AWS's worldwide GenAI training and inference team, driving go-to-market strategy and helping customers adopt and scale generative AI workloads across the full ML stack (PyTorch, JAX, Kubernetes, Slurm, EC2, NCCL/MPI).
Build and operate the enterprise AI/ML platform foundation at bpx energy (BP), creating reusable deployment patterns, CI/CD automation, and governance controls across Databricks, Palantir, Snowflake, AWS, and MLflow.
Job Description Manager, Finance AI Architecture — Deployment & Enablement at a glance... You will own the deployment and organizational scaling side of the Finance AI Architecture pillar at Kraft Heinz. Your job…
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Build and deploy AI/ML models for patient monitoring, transforming physiological signals into clinical insights using Python and deep-learning frameworks.
Designs and evaluates scalable machine learning architectures for a large U.S. bank, guiding adoption of cloud-based ML platforms and MLOps practices to enable predictive modeling and AI-driven financial solutions.
The Senior Architect will lead the development, training, and deployment of computer vision and vision-language models for industrial quality control and automation. This role focuses on building reliable, production-grade AI solutions that operate within the constraints of factory floor environments.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Job Overview: McDermott is seeking an experienced Technology Manager, Artificial Intelligence Infrastructure to lead the strategy, architecture, deployment, governance, and operations of enterprise AI infrastructure…
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Build and operate MLOps platforms on AWS for autonomous driving ML workloads, implementing ML pipelines with Airflow and MLflow, managing multi-GPU training, and maintaining infrastructure using Kubernetes/EKS, Terraform, and Python.
Develops AI/ML systems and predictive models for clients, focusing on LLMOps, deep learning, and software automation to transform unstructured data into actionable insights.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
The Senior AI/ML Engineer will develop and deploy AI agents and LLM-based solutions to automate payment processes and improve anomaly detection within the Global Payments Technology team. The role involves end-to-end model lifecycle management, from data preprocessing to production monitoring.
The Lead AI/ML Engineer will design and deploy LLM-powered AI agents for payment processing while establishing AI development lifecycle (SDLC) and MLOps best practices. The role involves mentoring team members and collaborating across departments to deliver scalable AI solutions using Python and modern ML frameworks.
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