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Designs and builds AI-driven finance automation systems, including agentic AI for workflows and ML models for forecasting, while setting technical standards and governance for Finance.
Senior Data Scientist builds ML models to prioritize cybersecurity vulnerabilities using Python, R, and TensorFlow/PyTorch on enterprise security telemetry.
Builds Python-based data pipelines and AI/ML integrations for life-science labs, translating assay workflows into Benchling, AWS, and FastAPI services while ensuring regulatory compliance.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.
Lead a team of data scientists to build and deploy credit-scoring models that power lending decisions, ensuring accuracy, compliance, and business impact.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Build and maintain scalable software while integrating AI/ML features using Python, Java, or JavaScript and cloud platforms like AWS/Azure.
Builds and maintains software for Lyft’s autonomous vehicles, focusing on perception, localization, and decision-making algorithms in C++/Python.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and GitHub Actions.
Builds AI-powered web apps for English learning using PHP/JavaScript, AI/ML frameworks, and cloud databases.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
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.
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