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Build and maintain data pipelines and ETL workflows using Python, Snowflake, and Airflow to move and transform large datasets for enterprise clients.
Builds and deploys machine-learning models to detect and prevent fraud in loan applications and post-approval transactions using Python, SQL, and statistical methods.
Product Manager for AI image and video generation, shaping benchmarking tools and leaderboards to evaluate cutting-edge generative media models. Collaborates with engineering, research, and industry leaders to define evaluation frameworks, run preference studies, and influence AI development roadmaps.
Build and optimize the AI benchmarking platform using Next.js, TypeScript, and PostgreSQL, creating intuitive data visualizations for thousands of daily users while shaping AI development trends.
Build and optimize AI benchmarking systems, design data-intensive backend APIs, and create interactive visualizations to evaluate cutting-edge AI models for a leading independent AI benchmarking company.
Build and refine credit scoring models (application and behavioral) for a regulated fintech lending platform, directly shaping risk strategy and portfolio profitability in Southeast Asia.
Designs and builds production-ready AI/ML systems and MLOps pipelines for clients, spanning cloud infrastructure, software development, and data science using Python, Terraform, and major cloud platforms.
The Role We're looking for a Machine Learning Engineer to own and advance the forecasting and predictive modeling capabilities at the heart of the Camus platform. This is an individual contributor role with real…
Lead a team to build and scale data-intensive, real-time financial systems in Python, integrating ML models and ensuring high-performance trading or market platforms.
Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Senior Python engineer building and maintaining a cloud-native insurance pricing platform using FastAPI, Kubernetes, and AWS, with a focus on scalability and performance.
Develops a Python-based Automotive Vulnerability Management Tool to track security risks (CVEs, SBOMs) across product lifecycles, collaborating with engineering and PSIRT teams to align with ISO/SAE 21434 standards.
Build and maintain cloud-native financial data platforms using Python, AWS, and GenAI tools to support investment decisions and analytics.
Build and deploy ML systems that power bird identification tools used by millions, working with large biodiversity datasets and cloud infrastructure.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Build and maintain AI-powered risk models and data pipelines for a SaaS platform that monitors cyber, financial, operational, and geopolitical risks for Fortune 100 clients.
Build cloud-native data pipelines and web tools that turn NASA satellite feeds into real-time weather and disaster products for public use, using Python, GIS automation, and AWS.
Build and deploy AI/ML solutions in Python, including LLMs, RAG, NLP, and computer vision, for global clients using tools like GitHub Copilot and ChatPwC.
Design and evaluate AI benchmark tasks for analytical reasoning by creating complex data-science workflows in Python and Jupyter, then assessing AI-generated analyses for correctness and statistical validity.
Designs and builds machine learning pipelines and APIs to detect anomalies in healthcare claims and pharmacy data using Python, unsupervised learning, and Oracle databases.
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