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About the Role Join the Vegetation Modeling team at a mission-driven climate-tech company that uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation…
Build and deploy ML models to classify and extract data from real estate financial reports, then maintain the ETL pipelines that normalize this data for analytics at scale.
Build and maintain ML data pipelines for autonomous trucking, curating high-quality sensor annotations and delivering on-demand training data to perception models.
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to generate high-quality annotations for autonomous trucking systems.
Build and scale Torc Sim, a simulation platform for autonomous trucking models, enabling replay, evaluation, and visualization of perception and behavior ML systems at scale.
Build and deploy predictive models for healthcare analytics using Python, SQL, and ML tools to drive data-driven decisions and optimise business outcomes.
Build and deploy data-science models and analytics pipelines for R&D projects, using Python/SQL and cloud/big-data tools to drive insights and scalable solutions.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowpark, Cortex, and native LLM capabilities, owning the full lifecycle from prototype to production.
Lead AI engagements for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of engineers to productionize scalable, high-quality AI solutions.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and optimize AI/ML models for sanctions screening in Visa’s AML/CFT compliance pipeline, using fuzzy matching, NLP, and global sanctions data to detect financial crime.
Build and deploy ML models that optimize hotel pricing using forecasting, reinforcement learning, and experimentation systems, turning data into revenue decisions.
Design and deploy AI solutions for enterprise customers, using Python, cloud AI platforms, and agentic frameworks to solve business challenges end-to-end.
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Builds and maintains data dashboards in Apache Superset, designs analytical data marts, and collaborates with engineers to automate metric calculations.
Build and deploy AI/ML solutions for legal and enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms like Azure/AWS.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, using cloud platforms and MLOps tooling to drive value for millions of banking customers.
Build and maintain cloud-native data pipelines using Kubernetes, ETL, Python, and Spark to power analytics at a global telecom platform.
Build and automate end-to-end ML pipelines for retail analytics and forecasting, integrating Oracle, Snowflake, and AWS with Kedro, MLflow, and Docker.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, taking models from experimentation to live systems on cloud platforms.
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