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Lead the architecture and implementation of scalable AI/ML pipelines and LLM-based systems using Python, cloud platforms, and MLOps practices for enterprise clients.
Design and maintain automated MLOps pipelines and infrastructure using Azure, Databricks, Spark, Kubernetes, and CI/CD tools to deploy machine learning models into production.
Support AI CoE initiatives by building and evaluating machine learning models (regression, classification) using Python, SQL, and Azure to translate business problems into solutions.
Build, deploy, and operationalize end-to-end machine learning solutions using Azure ML, Databricks, and Python while managing MLOps pipelines and model lifecycles.
Build and operate the cloud and platform infrastructure for enterprise AI solutions powered by Claude/Anthropic at a ServiceNow consulting partner, spanning LLMOps, RAG pipelines, containers, CI/CD, and ServiceNow integrations.
Builds and maintains scalable AI platforms integrating Anthropic’s Claude models, enabling secure, governed enterprise AI solutions with RAG, agentic workflows, and enterprise data integrations.
Builds and operates secure, scalable AI platforms for enterprise LLM apps, RAG, and agentic workflows using cloud-native tools and ServiceNow integrations.
AI Platform Engineer building secure, scalable cloud infrastructure for Claude-powered enterprise AI solutions on ServiceNow, spanning LLMOps, RAG pipelines, DevOps, and governance across AWS/Azure/GCP.
About T-Mobile: T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and…
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital…
Design, build, and deploy enterprise AI solutions like agents and copilots using LLMs, RAG, and cloud platforms to automate workflows and integrate with CN’s data systems.
Lead a data-science team at Roche’s India center, architecting predictive, causal, and generative-AI solutions for global healthcare teams while mentoring engineers and driving enterprise MLOps pipelines.
Deploy and operate ML/AI models and data pipelines for Lilly's drug discovery platform (TuneLab), spanning model serving, data-quality monitoring, and MLOps across cloud and on-prem infrastructure.
Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli,…
📢 Join Novibet as a Machine Learning Engineer ! Are you ready to take on a key role in a dynamic, fast-growing company? If you have a passion for Machine Learning and thrive in an international GameTech environment,…
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity…
£65,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent An opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise…
En IRIUM nos preocupamos porque no dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino. Buscamos un/a Ingeniero/a de MLOps con más de 5 años de experiencia…
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data…
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