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Lead a team building cloud-native data pipelines and AI-ready datasets for BMO’s generative AI and analytics platforms, integrating structured and unstructured data while ensuring governance and security.
Build and maintain the AI orchestration, knowledge management, and governance infrastructure that powers enterprise agentic AI systems for a large bank.
Build and deploy AI systems for medical devices, using LLMs, agentic workflows, and computer vision to extract insights from imaging data and automate lab processes.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Designs and builds cloud-native enterprise intelligence platforms, AI-enabled apps, and analytics solutions for mortgage lending, combining software engineering, data engineering, and AI/ML to drive decision-making.
Build and enhance web apps using Node.js/Fastify and React, integrating AI-powered solutions like RAG systems with LangChain and LangGraph.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Build and own the AI platform powering legal AI agents and accelerators, including retrieval, orchestration, evaluation, and observability for large-scale document processing in a regulated environment.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and scale the backend infrastructure that powers Snowflake’s agentic AI products like Cortex Agents and Search, focusing on orchestration engines, RAG systems, and automated evals for enterprise-grade reliability and performance.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Designs and builds enterprise-grade AI governance systems to ensure safe, compliant, and transparent ML/LLM deployments in healthcare, including bias detection, drift monitoring, and HIPAA-compliant guardrails.
Build and deploy AI-native applications using LLMs, RAG, and agentic workflows in Java/Spring Boot and React, integrating with enterprise systems and cloud-native platforms.
Data Scientist Intern — Concord Advice Summary Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial…
About the Role We are looking for a Python Software Engineer to join our engineering team and work at the intersection of software development, machine learning, and embedded systems. The primary focus of this role is…
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