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Lead a data-science team to design and deliver AI/ML solutions for enterprise clients, blending hands-on modeling with client strategy and team management.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy production-grade AI models for clients, including credit risk, fraud detection, and generative AI solutions using Python, ML frameworks, and cloud MLOps.
Build and deploy ML models on GCP to optimize AirAsia’s operations, using Python, TensorFlow/PyTorch, and Vertex AI for forecasting and predictive tasks.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy production-grade deep learning models using PyTorch and LLMs to solve Extreme Multilabel Classification problems for retail analytics.
Build and maintain ML systems for fintech and cybersecurity products, designing models to solve business problems and automating ML workflows in production.
Lead a data-science team to build predictive models and analytics solutions using Python, scikit-learn, TensorFlow, and Airflow for a large tech organization in Kuala Lumpur.
Build and deploy AI models (including LLMs) for investment research, using Python, ML libraries, and financial data to enhance decision-making and automate analysis.
Build predictive models, time-series forecasts, and generative-AI tools to optimize sales operations at a semiconductor/AI company using Python, SQL, and ML frameworks.
Lead AI Engineer designs and deploys ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps pipelines to build scalable AI solutions for Bosch’s product portfolios.
Builds predictive models and dashboards to extract insights from large datasets using Python, TensorFlow, and ML tools for Bosch’s engineering and IT solutions.
Design and deploy AI/ML pipelines for mobility systems, including data engineering, model development, and MLOps in cloud and on-prem environments.
Senior ML Engineer designs, builds, and deploys scalable ML systems and pipelines using Python, TensorFlow, and cloud platforms, while collaborating with data scientists and engineers.
Lead a data science team to build and deploy ML models for fraud detection and routing in a B2B payments platform processing over US$2B annually.
Build and deploy ML models using Python, TensorFlow, and PyTorch; analyze data to uncover trends and deliver dashboards and reports for stakeholders.
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Build and deploy AI models for player personalization, engagement, and decisioning in Ubisoft’s live games, shipping production-ready solutions that directly impact player retention.
Build and deploy AI/ML pipelines to improve rail mobility systems, working with Python, TensorFlow/PyTorch, and cloud platforms.
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