- Cleveland Clinic (Cleveland, OH)
- …traditional software development. The position will focus on building full-stack AI/ ML solutions, integrating AI features into existing tools, and working heavily ... and APIs that meet product requirements. + Work closely with domain experts, AI/ ML scientists, and other engineers to translate requirements into robust and scalable… more
- Abbott (Alameda, CA)
- …strategies, enforcing modern engineering and architecture standards, enabling cloud‑native, AI/ ML , IoT, and automation capabilities into secure, scalable solutions ... & Emerging Technologies** + Identify and prioritize pragmatic use cases for AI/ ML , IoT, data products, and automation, guiding pilots through to scaled delivery… more
- Cisco (Research Triangle Park, NC)
- …support scalable data pipelines and batch/streaming workflows to power analytics and AI/ ML use cases. . Develop and operationalize machine learning and GenAI ... . Proficiency in Python (preferred) or similar languages for building data and ML /AI solutions. . Hands-on experience with cloud platforms (AWS, Azure, or GCP) and… more
- Merck (Cambridge, MA)
- …mechanism discovery. **Key responsibilities** + Build and maintain end-to-end AI/ ML pipelines for biomarker discovery and patient subgroup stratification using ... methods spanning traditional statistics, network and pathway analysis, and modern ML /DL. + Develop novel models tailored to study objectives: formalize hypotheses,… more
- Insight Global (Mountain View, CA)
- …initiatives. This role sits at the intersection of program management, data operations, and AI/ ML , and will play a pivotal part in ensuring that our data annotation ... and product teams. You will collaborate closely with researchers, data scientists, ML engineers, and vendor operations to drive the end-to-end lifecycle of… more
- Palo Alto Networks (Santa Clara, CA)
- …+ Lead the architectural design of a highly scalable, low-latency, and resilient ML inference platform capable of serving a diverse range of models for real-time ... deployment, robust monitoring, and operational excellence for all production ML systems. + Cross-Functional Vision: Act as a key...in software engineering with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale.… more
- Google (Sunnyvale, CA)
- …**About the job** In this role, you'll work to shape the future of AI/ ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) ... technology that powers Google's most demanding AI/ ML applications. You'll be part of a team that...specific focus on TPU architecture and its integration within AI/ ML -driven systems. In this role, you will have an… more
- Google (Mountain View, CA)
- …building architecture in different modeling domains. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data ... with data structures and algorithms. + 6 years of ML or Quality experience working on recommendation systems. +...and ranking. You will manage some of the toughest ML and Quality problems, including Neural Deep Retrieval, Activity… more
- Toyota (Plano, TX)
- …enterprise data products, including data platforms, APIs, analytics solutions, and ML ‑enabled capabilities. + Leading the end‑to‑end product lifecycle from ideation ... development, launch, and continuous optimization. + Partnering with data engineering, ML engineering, and platform teams to design scalable architectures and ensure… more
- CVS Health (Harrisburg, PA)
- …leads the development and deployment of end-to-end AI and Machine Learning ( ML ) pipelines, ensuring that AI initiatives align with strategic business goals. This ... business needs and use cases into technical AI and ML solutions. + Evaluate and select the most appropriate...+ Ensure the seamless integration of AI applications and ML models with existing IT infrastructure and business processes.… more
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