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Build and maintain an NLP/LLM pipeline that extracts entities from financial news and disclosures, links them to a financial ontology, and powers RAG/Graph RAG features for evidence-backed answers in a securities trading platform.
Build and deploy AI-driven tools and dashboards for Tencent’s global IT and game systems, while researching ML models and maintaining cloud infrastructure.
Build and ship ML models end-to-end for financial-data enrichment and risk decisions, using Python, PyTorch, and cloud-native tooling.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Senior Data Scientist builds and deploys ML/AI models (including generative AI, RAG, and graph analytics) on Azure to detect fraud, optimize costs, and drive business insights for a large insurer.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Build and deploy ML models to classify and extract data from real estate financial reports, then maintain the ETL pipelines that normalize this data for analytics at scale.
About the Role Sanas is looking for a Member of Technical Staff to lead the post-training and deployment of large language models across a new generation of self-hosted, sovereign-deployed products. This is a rare…
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Design and deploy AI solutions for enterprise customers, using Python, cloud AI platforms, and agentic frameworks to solve business challenges end-to-end.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
Build and deploy AI/ML solutions for legal and enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms like Azure/AWS.
Build AI/ML systems to optimize clinical trial design using GenAI, agentic frameworks, and scientific data to cut drug development time and costs.
Build and deploy AI/ML models and generative AI workflows for clients across ASEAN, using Python, cloud platforms, and modern frameworks.
Build Python-based generative AI and agentic systems for a large bank, including FastAPI services, retrieval-augmented generation, and multi-agent orchestration.
Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Build and optimize AI systems for customer service automation using LLMs, prompt engineering, and RAG pipelines to improve interactions and efficiency.
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