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Lead AI Engineer builds and deploys agentic AI systems for go-to-market workflows using Salesforce, Slack, and LLM frameworks like LangChain, driving automation and efficiency in cybersecurity sales operations.
Build and maintain the MLOps platform and tooling stack for AI Singapore, enabling teams to train, deploy, and monitor ML models at scale using cloud, Kubernetes, and CI/CD pipelines.
Build and deploy AI systems that analyze millions of security events per second to detect and prioritize threats using retrieval, ranking, and anomaly detection at enterprise scale.
A VP-level machine learning engineer at NatWest Group builds, deploys, and monitors ML models in production, automates pipelines, and coaches teams to support the bank’s data-driven strategy.
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 a team to design, prototype, and deploy AI/ML, generative AI, and cloud-native solutions for healthcare use cases on AWS and GCP, ensuring compliance and scalability.
Build and deploy AI agents and automation using Microsoft Copilot Studio, Power Platform, and Azure AI Foundry, balancing low-code and pro-code approaches for enterprise solutions.
Build and maintain agentic AI and LLM-powered applications in Python for JPMorgan’s private banking advisors, writing production-grade code and contributing to Responsible AI standards.
Build and deploy production-grade AI systems, including LLMs, RAG pipelines, and agentic workflows using Python, PyTorch, and Hugging Face.
Lead the build-out of Brown-Forman’s cloud data lakehouse and AI-ready pipelines, partnering with business teams to turn analytics and LLM use-cases into production-grade solutions.
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
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 data-science projects for Adobe’s design tools, designing metrics, running experiments, and building AI-driven models to improve Illustrator, InDesign, and next-gen creative products.
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…
Lead multi-team programs to build and validate AI models, coordinating training, evaluation, and production systems for GenAI and reinforcement learning at scale.
Job Description – Data Scientist I Role Overview We are seeking a highly motivated Data Scientist I with strong foundational knowledge in machine learning, modern AI techniques, and emerging Large Language Model (LLM)…
Applied AI Lead Location: Houston, TX, us Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are…
Applied AI Lead - Edmonton Location: Edmonton, AB, ca Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management…
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