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Build and deploy AI-enabled systems that orchestrate machine learning models, automate workflows, and deliver actionable insights for mission-critical environments using Python, cloud-native tools, and AWS.
Senior AI/ML engineer at YouTube building and scaling machine learning systems that power recommendations, search, and content discovery for billions of users.
Data Scientist III Location: Hyderabad, Telangana Remote Type: Hybrid Time Type: Full time Job Description About the Role: Grade Level (for internal use): 10 About the Role : S&P Global is seeking a Data Scientist…
Designs and optimizes cloud environments for AI workloads, deploys and secures AI models, and manages governance and cost efficiency for a government department.
GG - 1442 - Senior Data Engineer Location: Hyderabad, India; Kochi, India Department: Data Engineering Experience: 8+ SENIOR DATA ENGINEER Enterprise Systems | Data & Intelligence Platform ABOUT THE ROLE You design…
(Senior) ML Ops Engineer Location: Lousado, Braga, pt Company Description Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €39.7 billion in 2024 and…
Leads the design and strategy for AI, data platforms, and digital modernization offerings to win federal contracts, working with capture teams and sector leaders to shape competitive solutions.
Sr. Forward Deployed Engineer Location: United States Department: Software Engineering Opportunity Overview: We are seeking a Senior Forward-Deployed Engineer to join our Forward Deployed Engineering team at Cohere…
Manages and validates quantitative ESG models for fixed income and equity portfolios, builds data pipelines, and creates analytics dashboards using Python, SQL, Snowflake, and related tools.
Senior MLOps engineer at a large Asian bank, building and deploying AI models (traditional, generative, agentic) into production using cloud, containers, and CI/CD pipelines.
Designs, builds, and deploys AI/ML models, LLM systems, and agentic-AI solutions for an education technology academy, using Python, cloud platforms, and modern AI workflows.
Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Builds and deploys predictive models and AI-driven solutions using Python to turn financial fund data into actionable insights for a global fund administration provider.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
Lead a team to build and maintain customer insight models (CLV, retention, fraud) and a scalable feature store using Python, SQL, and MLOps, driving data-driven decisions for Prudential’s APAC markets.
Build and lead the AI platform that powers isolved’s HCM suite, designing scalable LLM gateways, RAG pipelines, agentic runtimes, and SDKs while ensuring observability, governance, and cost control across ~20 engineers.
Lead product strategy for Equinix’s conversational AI and agent platforms, shaping chat, voice, and agentic interfaces while evaluating cutting-edge AI technologies and guiding technical decisions.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Lead the design and deployment of ML systems that extract structured signals from documents and images to automate business decisions across GEICO’s insurance operations.
Build and scale AI-powered identity-security systems using ML models, MLOps, and cloud-native pipelines to automate access decisions and detect anomalies for enterprise customers.
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