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Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Design and deploy production-grade AI/ML systems for Modaxo’s mobility portfolio, focusing on scheduling, LLMs, and predictive analytics while ensuring scalability and regulatory compliance.
Build and deploy generative-AI models (RAG, zero/few-shot learning) for capital-markets use cases like summarization and conversational AI, integrating them into existing tools for research, banking, sales, and trading.
Build and deploy ML systems for crypto fraud detection, recommendations, and chatbots using deep learning and graph neural networks to secure and improve Coinbase’s platform.
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Build and deploy ML models for real-time ride-sharing recommendations using deep learning frameworks like PyTorch or TensorFlow.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Build and improve large-scale machine learning systems to personalize Pinterest’s Homefeed, Ads, Search, and more using deep learning and big-data tech.
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Build and improve ML pipelines for media/entertainment tools, implementing deep-learning models in Python/C++ to process VFX and game data at scale.
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Lead the design and scaling of multi-modal, agentic AI systems for banking workflows, from model evaluation to production deployment in a fast-growing startup.
Builds and deploys AI-driven travel solutions using ML, generative AI, and optimization on GCP, focusing on pricing, automation, and operations for airlines and agencies.
Build and scale AI-powered developer tools that answer thousands of technical questions daily using Python, React, and RAG engines.
Designs rigorous AI training challenges, writes gold-standard solutions in Python/R, and audits AI-generated code for correctness and efficiency.
Builds AI-powered tools using RAG and LLMs to generate safety documents and operational procedures for reactor servicing, with Python, Plotly Dash, and containerized deployments.
Lead a team of data scientists building and deploying large-scale machine learning models for travel search, pricing, and personalization using Python, PySpark, and deep learning frameworks.
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 for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to generate high-quality annotations for autonomous trucking systems.
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