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Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and deploys AI-driven solutions, optimizes ML models in the cloud, and translates business needs into technical results using Python or R with TensorFlow or PyTorch.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and computer vision.
Build and deploy AI/ML pipelines for mobility systems, designing scalable data solutions and analytics dashboards to optimize transport networks and customer experience.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while ensuring real-world reliability in construction environments.
Build and deploy generative AI applications using LLMs and modern AI frameworks like TensorFlow or PyTorch.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and deep learning frameworks like PyTorch.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Lead deployment and optimization of GenAI and Agentic AI pipelines, ensuring scalable, compliant operations through automation, monitoring, and governance across platforms.
Build and deploy AI/ML models for energy data at Halliburton, cleaning data, creating dictionaries, and serving models via APIs on cloud platforms.
Build and deploy AI/ML models for Singapore’s energy grid and regulatory needs, owning the full MLOps lifecycle from training to production monitoring and governance.
Build and deploy ML models and data pipelines using TensorFlow/PyTorch to power AI-driven software solutions.
Build and deploy AI models (computer vision, ML) and data pipelines to automate avionics workflows and deliver data-driven insights for Thales’ flight systems.
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