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Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Data Scientist in Kuala Lumpur building time-series, NLP, and computer-vision models to optimize maintenance workflows and supply-chain decisions for ExxonMobil’s Product Solutions business.
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Build and deploy ML models to optimize travel experiences, revenue, and targeting for a 50M+ user platform using Python, R, SQL, and deep learning.
Build and deploy ML systems using LLMOps, deep learning, and Azure for predictive analytics and AI solutions for enterprise clients.
Design and maintain cloud infrastructure, automate CI/CD pipelines, and ensure system reliability and security using Kubernetes, Terraform, and monitoring tools.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
Designs, builds, and deploys AI/ML models and data pipelines to production, optimizing performance and collaborating with cross-functional teams.
Lead AI product development at Revolut, owning the roadmap for AI-powered features like assistants and automation using LLMs and ML, collaborating with data scientists and engineers.
Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Build deep-learning forecasting models to predict demand with 96% accuracy, using Python and PyTorch/TensorFlow, and deploy them in production to drive profit growth for clients like Delta and Virgin Atlantic.
Build and deploy AI/ML models using Python and frameworks, focusing on machine learning, deep learning, and generative AI applications.
Lead the technical vision for a next-gen AI compute infrastructure platform, optimizing GPU hardware, software, and energy efficiency for large-scale inference workloads.
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Designs and builds enterprise AI/ML solutions using deep learning and GenAI, deploys scalable pipelines, and leads end-to-end projects from data assessment to production.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Lead AI/ML projects for government, building LLMs and analytics systems while ensuring ethical, explainable outcomes in Python/SQL/MLOps.
Build and improve AI models for proactive human-AI collaboration using machine learning, data mining, and statistical analysis in a cutting-edge product team.
Build and deploy ML/DL models for signal processing and data fusion to support national security systems, using Python, PyTorch/TensorFlow, and Linux.
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