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Lead development of scalable AI systems processing engineering documents (CAD/BIM, reports) using Python backends and React frontends, integrating LLMs and deploying on cloud.
A forward-deployed engineer who embeds on-site with strategic customers to implement and scale ADI's AI and edge technology, writing production Python code for data pipelines, API integrations, and MLOps workflows.
Senior Technical Architect focused on Azure Databricks, providing architectural solutions, driving PoCs, mentoring teams, and leading complex consulting engagements for clients in Pune.
Senior AI Engineer at Chubb Life Taiwan designing and deploying production-ready AI applications (LLMs, RAG, MLOps) in Python, while mentoring engineers and collaborating with a global AI team.
Senior Product Manager leading AI applications and agents at Dell’s Office of the CTO, defining and delivering full-stack AI solutions, collaborating with engineers, data scientists, and stakeholders to innovate in a fast-paced, ambiguous environment.
Staff AI Solutions Engineer building and deploying scalable AI/ML and GenAI solutions (RAG, LLM orchestration) across onsemi's business functions, using Azure ML, LangGraph, MLflow, and enterprise integrations.
Lead Data Engineer at JPMorgan Chase builds and maintains scalable data pipelines, architectures, and AI/analytics solutions for Treasury & Corporate Risk Management, ensuring data quality, security, and governance while driving innovation through AI-assisted tools and cross-functional collaboration.
Data Engineer building and maintaining data pipelines and analytics solutions for AI initiatives in Corporate Technology supporting CIO, Treasury & Corporate Risk Management, using Python, SQL, Spark, and Databricks.
Your Job The GPU- MLOps Engineer will own the Azure platform layer end-to-end — deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our…
Required Graduation Period : 2025.6.1 - 2027.8.31 Description: At P&G, we use data and technology to solve challenges range from developing creative products, personalizing consumer experiences, go-to-market…
ML Engineer — GetTransfer GetTransfer ищет опытного ML Engineer для разработки и внедрения ML-решений в production. В периметре компании — широкий спектр проектов: от RightTech и mobility до fintech и других…
Stanford University is seeking a Machine Learning Engineer to perform advanced technical research for the ARPA-H/BDF grant. The grant required use of AI and ML tools for modeling and building biomedical applications…
Senior Product Manager - AI Engineering Showcasing excellence and innovation at every stage, Product Management is responsible for the cross-functional management of products or solutions through their entire…
The Team We are expanding our team at the leading edge of data science & analytics, and we are looking for a dynamic, inquisitive individual to help us grow our expertise. We want a collaborative individual to help…
About Sennos Sennos is the pioneer and leader in automated fermentation monitoring and analysis. We unify cutting-edge hardware, AI-powered analytics, and intuitive interfaces to deliver the industry’s most advanced…
Build and maintain MLOps infrastructure for freight-intelligence models, automating monitoring, retraining, and deployment at scale in a logistics-focused product team.
Build and maintain ML infrastructure for fintech underwriting models, deploying scalable systems in production while collaborating with cross-functional teams.
Desarrolla e implementa soluciones de IA Generativa y MLOps en entornos cloud y on-premise, gestionando bases de datos vectoriales, pipelines de datos y modelos de ML para clientes globales.
Builds AI-driven decision-science tools for mineral exploration, optimizing discovery of lithium, copper, and cobalt to accelerate the energy transition. Focuses on scalable Python-based systems, MLops, and collaboration with geologists to process noisy geospatial data and deploy models in the field.
About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five…
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