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Lead AI Engineer designing, developing, and deploying machine learning and generative AI/LLM solutions using Python, SQL, and deep learning frameworks (TensorFlow, PyTorch, Keras) on cloud platforms like Azure, AWS, and GCP.
Lead the product backlog and delivery of agentic AI document-generation and cognitive-search platforms at J&J MedTech, working with LLMs, RAG pipelines, multi-agent frameworks (LangGraph, CrewAI, AutoGen), vector databases, and AWS AI services.
This role involves designing and integrating generative and agentic AI solutions into enterprise platforms using Python, RAG, and multi-agent orchestration frameworks. The developer will focus on architecting scalable AI systems, including knowledge graphs and agent harnesses, to enhance operational efficiency.
The Data Science Manager leads a team of data scientists to drive business profitability and customer experience improvements through advanced analytics. The role involves managing projects, mentoring staff, and applying techniques like optimization, NLP, and predictive modeling to large datasets.
Do you have experience transforming digital processes with AI and automation, supported by knowledge of Regulatory Affairs strategy or policy? If you want to work on innovative projects of high importance for our…
Senior Manager leading clinical data science efforts to build predictive models and analyze high-dimensional multimodal data (imaging, genomics, clinical) for drug development, using R/Python, ML/DL, NLP, and AWS/cloud infrastructure.
Builds and deploys AI-driven security solutions for RBC, focusing on agentic AI, LLM applications, and RAG pipelines to enhance enterprise security and developer experience.
Design, develop, and deploy enterprise-grade AI agents and intelligent applications using Microsoft Copilot Studio, Power Platform, and Azure AI services at Visa.
The Principal Data Science Engineer will architect and deploy AI-driven solutions for the travel industry, focusing on integrating LLMs, generative AI, and mathematical optimization into Sabre's core platforms. The role involves leading research initiatives, establishing MLOps standards, and mentoring teams to transition research prototypes into high-performance production systems.
Develop and maintain large-language model research tools for cybersecurity data using Python, PyTorch, and Huggingface, while writing documentation and collaborating on proposals at a national lab.
Develop and maintain large-language model research tools for cybersecurity data using Python, PyTorch, Hugging Face, and related ML frameworks at a national laboratory.
Overview This is a remote role that may be hired in several markets across the United States. Priority given to those candidates located in North Carolina, Arizona, Texas and Florida. This role is responsible for…
Staff Product Manager leading SaaS Manager's enterprise readiness and platform modernization at 1Password—owning a multi-quarter roadmap spanning data ingestion, integrations, reliability, admin experiences, and responsible AI capabilities for a cybersecurity SaaS product.
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation…
Leads a team of software engineers at Google, managing large-scale projects, setting technical priorities, and mentoring developers across distributed teams to build core infrastructure and AI-driven systems.
US CITIZENS & PERMANENT RESIDENTS ONLY Job Location: Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine…
WHO WE ARE: Trellis Company is a nonprofit 501(c)3 corporation focused on helping people leverage the power of post-secondary education and learning to improve their quality of life and the communities where they live.…
Build AI-driven pricing and marketplace models for a mobility/logistics platform, analyzing supply-demand dynamics and optimizing charter/shuttle operations.
The Data Engineer will design and implement data pipelines to integrate AI models into chatbot solutions and enhance user experience. The role involves collaborating with cross-functional teams to optimize AI performance using Python, cloud services, and database technologies.
Build and test ML models for spacecraft autonomy, anomaly detection, and other aerospace challenges using Python and frameworks like TensorFlow/PyTorch.
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