Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead Fresha’s data-science function, build the team, and own production ML systems for fraud detection, text moderation, and taxonomy classification using SageMaker and Snowflake.
Leads data science initiatives within Enterprise Solutions Technology at S&P Global, focusing on delivering data-driven solutions for demanding enterprise customers.
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge…
Builds, tests, and maintains AI/ML and GenAI models for Citi’s AML transaction monitoring system using Python, SQL, and deep learning frameworks.
Leads AI/ML and GenAI model development for Citi’s AML transaction monitoring, focusing on data analysis, model lifecycle management, and regulatory documentation.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Build and improve AI developer tools using Python, RAG, and LangChain to enhance engineering velocity and productivity.
Lead a team building and deploying AI/ML applications for a private bank, using Python, JavaScript, and Google Cloud Platform while managing cloud services and stakeholder collaboration.
Lead a team of data scientists to build and deploy AI/ML models on Google Cloud Platform using Python, focusing on productionization and cloud operations.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Leads AI/ML projects at HSBC, building and deploying models using Python and modern web frameworks like Django, FastAPI, and Next.js.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Build and analyze data models to guide product decisions at a fast-growing startup, using SQL and Python to design experiments and drive user-facing feature improvements.
About Foodsmart: Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized…
Lead AI and machine learning initiatives for a government office, designing models to improve operational efficiency using data-driven insights.
Build advanced analytics prototypes to enhance audit efficiency and insights for J.P. Morgan’s Internal Audit team, using data science to strengthen assurance processes.
Leads end-to-end data science for Foodsmart’s member journey, owning analytics, experimentation, and causal inference to drive activation, retention, and funnel optimization across marketing, product, and clinical operations using full-stack tools like dbt, Statsig, and AI agents.
Lead AI-driven compliance tools for investment workflows, building generative AI assistants, semantic search, and agentic systems on BlackRock’s Aladdin platform.
Leads a Risk Data Science team at a bank, building credit-risk models (PD, LGD, scoring), fraud detection, and early-warning systems using Python, ML, and SQL.
Lead Marshmallow’s Data Science team to build ML and AI solutions that drive pricing, claims, and operational decisions in a regulated insurtech/fintech, while coaching engineers and partnering with product and commercial teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
