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Advises clients on generative AI solutions, building chatbots, document tools, and RAG pipelines using Python, LangChain, and cloud AI services like AWS Bedrock and SageMaker.
Lead the design and deployment of GenAI and ML solutions for financial planning and strategic analytics, building scalable cloud pipelines and APIs to deliver actionable insights for finance teams.
Build ML models to detect and govern AI agents in Kubernetes clusters, using telemetry and LLMs to create risk scores and enforce security policies for enterprise customers.
Design intuitive interfaces for an AI platform, simplifying model deployment, inference monitoring, and agent orchestration for developers.
Build and maintain Databricks-based data pipelines and ML systems in Python/Java, deploying models to AWS and mentoring engineers on secure, scalable cloud practices.
Leads ML model productionization, automation, and deployment at Oracle, setting standards for model readiness, data quality, and team collaboration to turn prototypes into production-grade AI systems.
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and IaC.
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Build and deploy AI-powered web apps and APIs for smart manufacturing, integrating LLMs, robotics, and predictive models to optimize Micron’s global semiconductor production lines.
Build and deploy production-grade AI systems, including agentic AI, RAG, and knowledge graphs, using Python and cloud-native tools on GCP.
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Analyze and visualize missile-defense data for U.S./Allied planners, building dashboards and reports in Python, SQL, and PowerPoint to guide rapid decision-making.
Job Description What is the opportunity? RBC's Functions Technology Strategic Programs is responsible for supporting delivery of transformative large-scale AI and automation initiatives while driving operational…
Own AI and analytics product strategy for Motorola’s Avigilon platform, turning cutting-edge computer vision and generative AI into scalable security solutions that protect people and places.
Principal Data Scientist at AWS leading multi-year AI/ML analytics strategy to drive product growth across Compute, GenAI, Database, and Storage services.
Build and deploy AI-powered banking features for Erica, Bank of America’s virtual assistant, using LLMs, RAG, and cloud-native services.
Design and maintain scalable data pipelines and curated datasets for analytics and ML at Mastercard, using SQL, Python, Spark, and cloud platforms like AWS and Databricks.
Build and deploy optimization models for supply-chain decisions like warehouse routing, shipping, inventory, and network flow using Operations Research techniques and AI-native workflows.
Build and operate cloud services for Delinea’s AI-driven Identity Security Platform, using LLMs to detect anomalies, enhance authorization, and deploy intelligent agents in C#/.NET, Python, and Go.
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