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Lead AI Engineer designs, builds, and scales enterprise-grade AI systems (including LLMs and generative AI) for regulated industries like healthcare and public sector, while mentoring teams and ensuring responsible AI governance.
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Lead the development of AI/ML models for industrial equipment reliability, predictive maintenance, and failure forecasting using sensor data and deep learning, while collaborating with engineering teams to deploy production-ready solutions.
Build and deploy machine learning models to automate forecasting and scenario simulation for sales, finance, and commercial teams using Databricks, Azure ML Studio, and Python.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Lead the design and deployment of scalable GenAI and Agentic AI systems, focusing on LLMOps, MLOps, and cloud-native infrastructure for enterprise-grade applications.
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.
Build and operate a secure, scalable AI platform to deploy and manage LLM services across providers, ensuring high availability, cost efficiency, and enterprise-grade governance for legal-tech products.
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.
Lead cloud architect designs enterprise-grade Azure and Databricks data platforms for financial clients, building scalable ETL pipelines, governance frameworks, and MLOps patterns while guiding engineering teams.
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…
Builds and deploys AI/ML models (predictive, generative, agentic) for Adobe’s creative tools (e.g., Illustrator, InDesign) to enhance user workflows, focusing on RAG, embeddings, and copilots.
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.
Job Family : Data Science & Analysis, Data Science Consulting Travel Required : None Clearance Required : None Guidehouse is seeking a Databricks Data Scientist to join our AI & Data team to support client…
Design and administer enterprise Databricks environments, including Unity Catalog, compute, security, and governance, to deliver scalable, governed data and AI solutions for clients.
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.
At Cloudflight, we’re committed to making a digital difference. It’s a difference that impacts businesses and society alike and one that’s fueled by our passion for technology and our dedication to sparking the…
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