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Designs and builds machine learning models to analyze data and improve product performance, working 2 days per week from an HPE office in Bengaluru using Python, TensorFlow, and related tools.
Lead AI engineer building agentic AI systems to automate and optimize network infrastructure using LLMs, RAG, and AI agents in a banking environment.
Build and deploy machine-learning models on Microsoft Azure for enterprise clients, using cloud-based ML services and agile practices to deliver scalable AI solutions.
Senior full-stack engineer building and deploying AI-powered applications using LLMs, agents, and RAG on Google Cloud, with React/Next.js frontends and Python backends.
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Review AI-generated finance content for accuracy and clarity, providing structured feedback to improve model performance. Requires postsecondary finance teaching experience.
Build, deploy, and monitor AI/ML models and MLOps pipelines for federal missions, integrating NLP, LLMs, and predictive analytics into secure enterprise systems.
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
Designs scalable AI-enabled workflow platforms and agentic automation for Daimler Truck’s engineering environments, integrating model serving, enterprise systems, and CI/CD pipelines.
Design and implement AI governance controls, observability, and audit patterns for Huron’s AI systems, ensuring safe, compliant, and measurable outputs across cloud platforms.
Build, deploy, and govern AI/ML models (including Generative AI) for banking use cases like pricing and anomaly detection, working across the full lifecycle from development to monitoring.
Lead the development of AI-powered clinical decision support tools that help clinicians quickly find trusted medical answers and improve patient care.
Build and maintain scalable automation infrastructure for benchmarking AI and accelerated-computing workloads, turning complex experiments into reliable, reproducible workflows.
Design and operate Capital Group’s enterprise AI platform, building scalable vector databases, RAG pipelines, agent frameworks, and AI Gateways to securely deploy generative AI and agentic solutions across the firm.
Designs and builds enterprise-grade GenAI solutions on AWS (Bedrock, AgentCore) with LLMs, RAG pipelines, and agentic workflows, ensuring scalability, performance, and cost efficiency.
Design and deploy secure, scalable cloud platforms for AI and Generative AI solutions on Azure, integrating enterprise systems like Microsoft Graph and Snowflake.
Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services) Overview : At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an…
Lead design and delivery of Google Cloud Gen AI and agentic systems for healthcare clients, turning clinical data into safe, production-ready AI solutions that improve decision support and workflows.
Principal Data Scientist designs and delivers healthcare AI solutions using Azure ML and Databricks, translating clinical data into production-ready models while ensuring governance and responsible AI practices.
Translates product needs into ML specs for a real-estate photo-editing pipeline, runs model evaluations, and maintains quality standards for AI outputs.
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