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Build AI-driven features like chatbots and copilots using deep learning and LLMs to enhance customer interactions at a global fintech super app.
Build production-ready AI agents and models for insurance using LLMs, RAG, and computer vision, taking solutions from research to deployment.
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Build and deploy data-driven solutions using Python, ML, and Azure to optimize building systems and sustainability for Johnson Controls' smart-city and decarbonization products.
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Build and deploy AI-driven travel optimization systems using ML, GenAI, and MLOps on GCP for Sabre’s global travel marketplace, from pricing to airport operations.
Build and deploy AI-driven travel systems, blending ML, GenAI, and optimization to power airline pricing, agency automation, and itinerary personalization at scale.
Senior Data Engineer builds scalable data pipelines and ML analytics for chemical manufacturing, focusing on predictive maintenance, optimization, and real-time streaming using Python, SQL, and Kubernetes.
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Build and maintain Python backend services that process data from 300,000+ IoT devices, and contribute to React/TypeScript frontend features for retail store tools powered by computer vision.
Build and improve ML models for media and entertainment software, focusing on AI techniques like deep learning and geometric methods to enhance Autodesk’s creative tools.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Leads the AI product vision for BMO’s internal tech systems, defining Gen AI roadmaps, prioritizing use cases, and guiding implementation of LLMs, RAG, and responsible AI practices.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Lead a team of data scientists to build ML models that classify and sort recycled plastics in real time using spectral sensor data and deep learning.
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