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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.
Build and deploy ML models to solve business problems using Python, SQL, and core data-science libraries; collaborate with engineers and stakeholders to turn data into actionable insights.
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Build and deploy AI/ML models for cybersecurity at scale, focusing on GenAI, LLMs, and agentic systems to enhance security operations and threat detection.
Build and own scalable data pipelines and ETL workflows for Adobe Firefly’s generative AI products, supporting analytics, modeling, and product decisions.
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
About the Role We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience…
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 Scientist building and deploying AI models for industrial workflows, using Python, Databricks, and Azure AI to analyze complex datasets and improve business processes.
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 maintain ML pipelines and recommendation systems for a global streaming platform serving millions, using Python, TensorFlow/PyTorch, and GCP.
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.
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
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.
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Build and deploy ML models for global semiconductor manufacturing, using Python, TensorFlow, and cloud analytics to optimize production and engineering workflows.
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.
Build and deploy production ML systems for ranking, recommendations, and personalization that directly impact revenue and customer experience at a large adtech platform.
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.
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