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Senior Product Manager driving AI product development in identity security, authorization, and privileged access at Delinea. Responsibilities include translating market trends into features, partnering with engineering and design teams, and owning product initiatives from concept to launch with focus on AI/ML technologies.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
Builds and maintains the backend infrastructure that lets AI researchers and engineers quickly set up, run, and debug training and serving environments on Databricks’ AI platform.
Build and scale ML infrastructure and agentic AI workflows to accelerate AI-driven protein design and genetic medicine research.
Build and scale the machine learning platform that powers AI-driven behavioral health tools, including LLM serving, GPU inference, and multimodal data pipelines, for a fast-growing virtual care provider.
Build and scale the machine learning platform that powers AI-driven behavioral health tools, including model serving, GPU inference, and multimodal data pipelines.
Build and ship AI features for mission-critical ontology-based applications using Python, Java, and Scala, integrating LLM workflows and RAG into secure defense systems on AWS/OpenShift/Kubernetes.
Builds and deploys production-grade AI/ML systems (classification, document understanding, RAG, LLMs) to automate compliance workflows and improve developer efficiency at a fintech company processing billions of transactions annually.
Computer Vision / Deep Learning Scientist – SeniorPosition Overview We are seeking a Senior Computer Vision / Deep Learning Scientist to design, develop, and deploy advanced computer vision and deep learning solutions…
Aptonet in the United States seeks a Senior Computer Vision / Deep Learning Scientist to design, develop, and deploy production-ready CV and DL solutions for high-impact applications. This role combines strong…
Senior ML Engineer responsible for designing, building, and maintaining ML training pipelines and infrastructure for ad-targeting models in a fast-growing gaming/media company. Focuses on end-to-end ML ownership, performance optimization, and enabling data scientists with scalable, reproducible tools.
Lead AI/ML projects for clients, designing and deploying agentic systems, ML models, and cloud-native solutions while advising on technical architecture and delivery at scale.
Leads AI and technology consulting engagements for enterprise clients, designing and delivering scalable AI/ML solutions while managing teams and client relationships in sectors like energy, financial services, and government.
Develops enterprise Java applications with AI/ML integration for public sector clients, focusing on digital transformation, API design, and production-grade AI deployment.
Build and deploy computer vision models end-to-end, from data curation to production, while collaborating with product and engineering teams to integrate AI-driven features.
Senior Systems Engineer builds and owns an AI-powered data-analysis tool for Navy submarine patrol data, using Python and ML to extract mission insights and automate workflows.
Lead analytics and AI/ML initiatives to drive data-informed decisions, build predictive models, and create executive dashboards for a government-run educational institution.
This Senior ML Engineer role focuses on conducting fundamental research in agentic AI and intelligent systems to develop novel model architectures and learning algorithms. The position involves translating research into product features and requires deep expertise in areas like LLMs, generative models, and reinforcement learning.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
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