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Design, optimize, and deploy machine learning models on resource-constrained edge devices using model compression, quantization, and frameworks like TensorFlow Lite, ONNX Runtime, and Core ML.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
Data Scientist on Workday's Deployment Technology team, analyzing deployment/migration product performance, building Tableau dashboards, prototyping predictive models in Jupyter, and identifying AI/ML automation opportunities using SQL, statistics, and data warehousing.
This 8-month internship involves developing full-stack web applications and backend data pipelines using Python, Dash, and Pandas to support enterprise risk management. The role focuses on building scalable, production-ready data solutions and integrating AI/ML models into interactive user interfaces.
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re…
As a Data Scientist at P&G, you will design and implement scalable machine learning, optimization, and generative AI models to solve complex business problems. You will collaborate with engineering teams to productionize these solutions while mentoring others and applying advanced analytics to massive datasets.
The Senior Data Scientist will design and implement advanced AI, machine learning, and optimization models to solve complex business challenges at scale. The role involves collaborating with engineering teams to deploy production-ready solutions using cloud platforms like GCP or Azure.
The Lead Full Stack Developer will design and maintain legacy and cloud-first applications using C#, .NET Core, and Azure. The role involves leading engineering efforts, implementing CI/CD pipelines, and leveraging AI tools to solve complex business problems.
The ML Engineer will train, fine-tune, and deploy Computer Vision models while managing datasets and monitoring production performance. The role requires expertise in Python, deep learning frameworks, and MLOps practices to ensure model accuracy and reliability.
The Senior Data Scientist will design and deploy agentic AI and GenAI analytics solutions, including RAG systems and forecasting models, while managing end-to-end MLOps. The role requires strong Python, cloud ML expertise, and experience in productionizing AI systems for enterprise or government operations.
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
Train, evaluate, deploy and monitor computer vision models (detection, classification, tracking) in Singapore, using Python and deep learning frameworks like PyTorch or TensorFlow.
The Machine Learning Engineer Intern will join the Model Engineering Team to train, fine-tune, and optimize deep learning models for video intelligence applications. The role involves hands-on experimentation with CNNs, Transformers, and foundation models to improve real-world vision system performance.
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
Staff AI Engineer designing, building, and operating production-grade agentic AI systems for personalization and communications at American Express, using Python, Go, TypeScript, LLM orchestration frameworks (LangGraph, LangChain), and cloud infrastructure (AWS/GCP, Kubernetes).
Data Scientist at Visa solves complex business problems using advanced data science techniques, AI/ML models (e.g., large language models, transformers), and data-driven frameworks, collaborating with cross-functional teams to integrate solutions and communicate insights. Core technologies include Python, TensorFlow, PyTorch, and scikit-learn.
Build and maintain scalable MLOps platforms and pipelines supporting drug discovery at Amgen, using Python, AWS/Databricks, and AI/ML frameworks to productionize models from classical ML to LLMs.
About the Role RPMGlobal (RPM) is seeking a Computer Vision and machine learning Software Engineer to join our development team and develop algorithms that transform imagery, LiDAR, point clouds, and other sensor data…
Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
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