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Builds ML models for fraud detection, risk management, and customer analytics in the financial sector using data-driven solutions.
Build ML models and data pipelines for fraud detection and payment optimization in a global fintech platform.
Build and deploy scalable data pipelines and ML models for fraud detection, risk management, and customer analytics in the financial sector using Python, Spark, and cloud platforms.
Build and deploy generative AI models to automate and enhance underwriting processes using Python, SQL, and OpenAI services.
Lead AI/ML projects to build and productionize models for personalization, churn prediction, and customer behavior analysis in a telecom-focused unit.
Lead AI/ML projects to optimize public transport operations and customer experience using Python and advanced analytics.
Build and deploy scalable AI systems (Generative AI, NLP) end-to-end, ensuring production quality and mentoring junior engineers in Singapore.
Build and fine-tune a multilingual LLM focused on Bahasa Indonesia, curating datasets and aligning models for safe, reliable AI features used by millions.
Design and deploy enterprise-scale AI solutions like pricing optimization and anomaly detection using Python, Spark, and cloud platforms.
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Designs and builds predictive/prescriptive models using Python, SQL, and Spark to surface insights and automate large-scale data analyses for HP’s AI-driven products and business decisions.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Design and build AI/ML models to extract insights from complex datasets and guide strategic business decisions at HP.
Build AI models to optimize semiconductor manufacturing processes, improving quality and yield using Python, ML/DL, and SQL.
Design data pipelines and build production-grade ML models for an AI/ML and IoT platform, collaborating with engineers to scale analytics and document decisions.
Build and deploy deep-learning models for computer vision, voice, and text to power AI-driven financial products at a fintech company.
Build predictive models and analyze large datasets to inform business decisions, collaborating with engineering to deploy solutions and stakeholders to drive actionable insights.
Develops and deploys data models and pipelines for energy services, focusing on data engineering, cleanup, and dictionary creation in Singapore.
Senior data scientist builds and deploys scalable ML models and data pipelines on Databricks and AWS to power analytics and ingestion across the platform.
Build and deploy AI-driven travel systems: optimize airline networks, automate agency workflows, and enhance retailing using ML, GenAI, and MLOps on GCP.
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