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Leads end-to-end technical support transformation programs, deploying global design models to standardize processes and improve customer experience and operational efficiency.
Leads technical support transformation programs and global design model deployments to enhance customer experience and operational efficiency in Honeywell’s technical support operations.
The Senior Program Manager leads global technical support transformation programs and design model deployments to improve operational efficiency and customer experience. The role involves cross-functional collaboration, budget management, and driving continuous improvement initiatives within the organization.
Sr Staff Engineer – AI/ML Compiler & Runtime Software Engineer AI SDK Team Location: Pune / Bangalore – India Join the RISC-V Revolution! About GlobalFoundries GlobalFoundries is a leading full-service…
Design, develop, and optimize AI/ML embedded software for HP's commercial PCs and connected devices, deploying machine learning models at the edge using C/C++, Python, and frameworks like PyTorch, TensorFlow, ONNX, and TFLite.
The Experience Design Vice President will lead the design and strategy for AI-powered tools and conversational interfaces within JPMorganChase's operations teams. This role involves collaborating with cross-functional teams to create intuitive, human-centered experiences while mentoring junior designers and promoting inclusive design practices.
The Embedded AI/ML Developer will design and optimize AI-enabled software for HP's commercial PCs and connected devices, focusing on deploying efficient machine learning models at the edge. The role involves integrating AI inference engines with firmware and system software while collaborating across hardware and data science teams.
Senior SDE on the AWS Analytics Engineering team building and operating petabyte-scale data platforms, workflow orchestration systems, and GenAI/ML-powered analytics at AWS scale.
Build self-service ML platform tooling and golden paths from the ground up, enabling Data Scientists to independently deploy models to production across batch and real-time use cases using Python, PyTorch, TensorFlow, Kubernetes, and MLflow.
Develops statistical and machine learning models to analyze complex business scenarios, quantifying uncertainty and driving data-driven decision-making for finance and enterprise management.
The AI Engineer will design and deploy scalable Generative AI, Agentic AI, and machine learning solutions for the healthcare and life sciences industry. The role involves building production-grade AI applications, managing MLOps pipelines, and collaborating with stakeholders to solve complex medical and commercial data challenges.
The Senior Data/AI Engineer will build and optimize scalable data pipelines and AI infrastructure to support commercial credit decisioning and risk modeling. This role involves working with cross-functional teams to implement MLOps and DataOps practices while ensuring high-quality, governed datasets for AI applications.
Build and deploy ML models for personalization, recommendations, and ranking at The Washington Post, using Python, PyTorch/TensorFlow/JAX, and large-scale behavioral data to power intelligent reader discovery experiences.
Design and deploy enterprise AI/ML solutions on the Snowflake native stack (Cortex, Model Registry), perform root cause analysis on complex distributed systems, mentor architects, and align technical roadmaps with business outcomes.
Job Posting End Date : Refer to your school’s job portal for the application deadline. ONE Gas, a premier natural gas distribution company with corporate offices in Tulsa, OK, is looking for a Data Science Intern to…
Build and run machine learning models that turn high-volume security telemetry into accurate, low-noise detections for SoFi’s SOC and fraud teams, using Python, SQL, Spark, and cloud data platforms.
Develop and improve machine learning models for credit underwriting and risk management using Python and cloud platforms.
Develops next-gen AI/ML GenAI solutions on Google Cloud, focusing on large-scale system design, model deployment, and GenAI techniques like LLMs and multi-modal models to enhance Google’s products and services.
Works as an AWS Solutions Architect on AI implementation projects, designing end-to-end architectures using AWS AI/ML services (Bedrock, SageMaker) and guiding engineering teams to turn client AI strategies into production cloud solutions.
Principal Platform Engineer builds and leads an Internal Developer Platform (IDP) using Kubernetes, GitOps, and observability tools to enable self-service infrastructure for application, data, and AI teams.
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