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Design and productionize multi-agent LLM systems and agentic workflows for eBay's Search & Recommendations team, working with Python, PyTorch, and cloud infrastructure at massive e-commerce scale.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
Leads MLOps automation for a regional bank’s data/analytics team, designing CI/CD pipelines and Kubernetes infrastructure (AWS EKS) to deploy models/data pipelines at scale while mentoring engineers and collaborating cross-functionally.
The Agentic AI Engineer will design and deploy autonomous AI agents and machine learning solutions to modernize operations for the United States Postal Service. The role involves building agent-based architectures using frameworks like LangChain and AutoGen, implementing MLOps pipelines, and ensuring AI governance and performance.
About FWD Group FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and…
Designs and deploys AI/ML solutions (LLMs, RAG, predictive models) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics.
The AI Engineer will design, develop, and deploy AI-powered solutions, including machine learning models, intelligent agents, and copilots, using Python and Azure cloud platforms. This role involves collaborating with cross-functional teams to integrate AI into enterprise applications while adhering to responsible AI and security standards.
The Opportunity Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization.…
Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Data Engineer at Bank of America's Global Commercial Lending division, building and productionizing AI/ML and GenAI solutions end-to-end using Python, MLflow, and MLOps frameworks in an in-office, enterprise environment.
Senior AI Engineer designing and deploying production-grade AI systems across cloud and on-prem environments, working with Python, containerization, MLOps tools, and distributed system architecture.
Designs and leads enterprise-scale data analytics architectures, cloud solutions, and data platforms for government clients, ensuring security, scalability, and compliance with MINDEF standards.
Solution Architect designing AI/ML solutions for enterprise clients, with hands-on engineering in Python, cloud infrastructure (Kubernetes, Docker, Terraform), and modern AI ecosystems (LangChain, Hugging Face, vector databases).
Builds and deploys AI/ML solutions, including LLMs and agentic systems, managing pipelines from data to production while ensuring scalability and reliability.
Build and deploy production-grade AI models for geospatial applications, leading ML system design, MLOps, and cross-team collaboration.
Senior AI & Full-Stack Engineer leading development and production deployment of AI/ML capabilities (LLMs, RAG, credit/fraud models) and full-stack features on a Singapore SME financing marketplace, using Python, SQL, and cloud platforms.
Leads AI/ML system design, development, and deployment for geospatial applications, focusing on scalable production models, MLOps, and cross-team collaboration to integrate AI into platforms.
Lead the design and deployment of production-grade AI/ML solutions focused on geospatial applications, applying MLOps best practices and mentoring engineers using Python, PyTorch, scikit-learn, OpenCV, Docker, and API frameworks.
Designs and deploys AI/ML solutions (including generative AI) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics, with a focus on enterprise-scale MLOps and sales ops integration.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
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