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Leads LLM/NLP model development and builds production-grade AI systems with robust data pipelines for Earth data solutions.
Position Title Machine Learning Engineer Principal Broadmoor Campus Position Summary / Career Interest: The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to advance machine…
About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into…
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Senior Machine Learning Engineer (AI Agent) We're hiring a Senior NLP Engineer to own the accuracy of our information-extraction pipeline. You'll work on hard problems extracting material properties and…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Leads geographically diverse AI/ML teams, serving as a primary point of contact for AI-related matters while designing and implementing machine learning models using frameworks like PyTorch and TensorFlow.
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Build and deploy AI/ML models for JPMorgan’s Business Banking, focusing on Gen AI, NLP, and LLM-driven validation and campaign workflows.
Designs and maintains cloud-native, mission-critical banking systems using SRE practices, automation, and enterprise-authorized AI to improve reliability, observability, and incident response.
Leads the Data Science team as a senior ML/AI engineer, building and optimizing models for climate-tech solutions at a construction materials supplier.
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
Builds and deploys production-grade AI systems, focusing on agentic architectures, retrieval logic, and rigorous testing for LLM-powered applications.
Design and maintain MLOps workflows for AI/ML and GenAI solutions, ensuring model reliability, performance, and governance in a production environment.
Build and enhance AI/ML systems, including LLMs and GenAI, for a platform and client projects using Python, TensorFlow, and cloud tools.
Build and refine generative-AI models for construction cost estimates using computer vision and ML, leveraging proprietary blueprint datasets to improve accuracy and business impact.
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
Build and optimize computer-vision models for AI dashcams that detect risky driving and coach fleets in real time using Python/C++ and deep-learning frameworks.
Builds and deploys AI/ML systems (classical models, LLMs, agentic workflows) in production using Databricks, Azure ML, and Kubernetes, with a focus on forecasting, prompt engineering, and observability.
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