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Data Analyst
Analyze military data to extract insights, build dashboards in Tableau, and advise DoW clients on IT improvements using Python, SQL, and Databricks.
Senior MLOPs
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Senior Manager, Data Scientist - Card Fraud Prevention
Lead a team building and deploying ML models to detect and prevent card fraud using Python, Spark, and cloud tools, protecting customer accounts at scale.
Senior Manager, Credit Cards Analytics & Insights
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Sr. AI Engineer
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.
Principal Analyst, Operations and Health Systems Research
Lead data-pipeline and forecasting-model development to optimize clinical-trial operations using real-world health data, machine learning, and operations research.
Data Scientist (Computer Vision)
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Staff Engineering Manager
This is an excellent opportunity to join Arm's Partner Enablement group! Applications Engineering is a multifaceted and wide-ranging role that combines deep technical expertise with outstanding interpersonal…
Vice President – Data Scientist Lead (LLM/GenAI)
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.
GenAI App Developer Lead Analyst - Python - Vice President
Lead a team to architect and build scalable Python applications for market-risk stress testing and regulatory projects at a global bank.
Machine Learning Engineer II
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Senior Deep Learning Architect, LLM Inference
Architect and optimize LLM inference performance on NVIDIA GPUs, profiling vLLM, SGLang, TRT-LLM, and collaborating with teams to publish benchmark results and drive software advancements.
Applied AI Engineer
Build and deploy AI systems to automate and optimize NVIDIA’s chip-design workflows, including LLM-powered validation pipelines and cross-team AI integrations.
AI/ML Engineer | Talent Marketplace
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.
Principal Machine Learning Engineer
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Machine Learning Engineer II
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Software Engineer, ML Infrastructure, Level 4
Build and optimize ML infrastructure at Snap, including training pipelines, inference systems, and data management, using Python/Java/Go and distributed frameworks like Spark and Ray.
Machine Learning Engineer III - Document Intelligence
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.