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Build and deploy GenAI and ML systems for natural language understanding, data extraction, and information retrieval at enterprise scale within S&P Global’s financial-intelligence products.
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Lead validation strategy for enterprise SSD firmware, architecting AI/ML-powered test frameworks and verifying NVMe features across hardware environments.
Build and maintain the data and modeling layer for AI agents, including datasets, predictive models, and evaluation frameworks to power Rockwell’s agentic AI products.
A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us if you are excited about shaping the future of technology and driving significant business impact in…
Build and deploy generative AI solutions for banking systems using Python/Java, React/Angular, and AWS; lead AI model development and prompt engineering.
Build and deploy production-grade AI systems, including LLMs, RAG pipelines, and agentic workflows using Python, PyTorch, and Hugging Face.
Senior Data Scientist at S&P Global designing and building GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions. Core technologies include large language models, Python, MLOps, and NLP architectures.
Build and deploy scalable AI/ML models and data pipelines using Python, TensorFlow, and NLP to transform raw data into actionable insights for risk and regulatory clients.
Build and deploy AI/ML models and scalable data pipelines using Python, TensorFlow, and NLP tools to transform raw data into actionable insights for risk and regulatory solutions.
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Build and deploy AI/ML models in Python and cloud platforms to solve business problems, including predictive modeling, optimization, and generative AI solutions for Micron’s operations.
Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli,…
Develops AI-driven software for ground support systems, building and optimizing ML models in Python to analyze mission data and improve aircraft maintenance and planning.
At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where…
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLMs and MLOps pipelines, using Python, cloud platforms, and frameworks like LangChain.
Build and scale cloud-native microservices, APIs, and ML pipelines for Nike’s digital platforms, using Java, Node.js, React, and AWS serverless/Kubernetes, while operationalizing ML models and modernizing legacy systems.
Lead AI/ML model development for enterprise-scale financial reconciliation, deploying Agentic AI and LLMs using Python, LangGraph, and Kubernetes to drive global banking operations.
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