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Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Junior Software Engineers build/maintain enterprise Triage systems and data pipelines, focusing on automation, cloud workflows, and AI/ML integration to improve financial service efficiency.
Job Details: Job Description: Intel Client Computing and Physical AI Group is building the open ecosystem for Physical AI and Robotics. We are seeking a passionate and technically strong Software Engineer to help grow…
Design, build, and productionize LLM-powered agentic AI systems for conversational interfaces, integrating with enterprise systems to deliver scalable, real-time AI solutions for global customers.
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
This role involves architecting and optimizing end-to-end training workflows for robotics foundation models like Cosmos and GR00T. The candidate will work with researchers and engineers to scale multimodal model training and data pipelines across multi-GPU and multi-node systems.
Lead Data Scientist translates business challenges into data-driven insights by building, deploying, and optimizing ML models (including generative AI) using Python/R/Scala. Focuses on full AI workflows—from feature engineering to model monitoring—while mentoring teams and advising executives on strategic decisions.
Principal Software Engineer focused on High Performance Computing for AI/ML model training and inference, using Python, C/C++, PyTorch, and GPU accelerators at JPMorganChase.
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.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
Research scientist driving applied AI and Generative AI initiatives—foundation models, NLP, large-scale GPU model training—within CIBC's Advanced Analytics and AI team in Toronto.
Quantum Machine Learning Research Scientist at CIBC driving applied research on quantum algorithms for fraud, cybersecurity, and optimization use cases using quantum frameworks like Qiskit, Cirq, Ocean, Q#, and Python.
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.
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.
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