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.
Senior analyst builds predictive models and SQL/Python analyses to personalize rewards and communications for business customers in CommBank’s Yello program.
Build and lead a trusted enterprise data and AI platform using Databricks, dbt, and Python to power executive analytics and conversational AI agents with certified, semantic data models.
Develops an agentic AI framework (JARVIS) for pharma use cases, designing Python-based LLM workflows, Streamlit interfaces, and Kubernetes deployments to validate technical feasibility for a future pilot.
Build and maintain cloud-based data pipelines for a major automotive client using Python, Airflow, and Snowflake to feed production analytics and KPIs.
Build and deploy AI/ML models for JPMorgan’s Business Banking, focusing on Gen AI, NLP, and LLM-driven validation and campaign workflows.
Design and build scalable Python backends with FastAPI, integrate AI workflows using LangChain/LangGraph, and create interactive Streamlit apps while mentoring teams and advising clients.
Build full-stack apps with React/Next.js frontends and Python/FastAPI backends, lead teams, and mentor developers while integrating AI-driven features for client projects.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
Builds and modernizes data models/semantic layers for self-service analytics, blending tools like Power BI/Tableau with Python/SQL to enable AI-driven reporting and cross-platform insights for clients.
Lead a team of senior data scientists and engineers to build, deploy, and monitor credit-risk models using Snowflake, Python, and Azure ML Studio.
Build and deploy end-to-end AI applications using LLMs and GenAI on Azure, from concept to production, collaborating with business and data teams.
Build and deploy GenAI models (LLMs, clustering, NLP) and end-to-end analytics pipelines to extract business insights and power customer-facing features.
Build and maintain cloud-based ETL pipelines for a major automotive client using Python, Airflow, and Snowflake to feed production analytics.
Build and own the data pipeline for a hedge-fund’s Industrials portfolio, cleaning and transforming market data, automating ETL/ELT, and enabling analysts with Python, SQL, and AWS.
Build and maintain high-performance trading systems in Java/Kotlin/Python, owning the full stack from design to production deployment for Citi’s global equities platform.
Build and own greenfield trading workflow tools in Kotlin/Python, deploying microservices on Kubernetes while collaborating with global traders to redefine global finance systems.
Build and deploy AI/ML models (traditional, generative, and agentic) using Python, AWS, and Snowflake to improve insurance workflows and client experiences.
Lead AI/ML initiatives including traditional models, GenAI, and agentic systems to improve customer and employee experiences using Python, cloud platforms, and modern data tools.
Build and deploy AI solutions (ML models, agents, RAG) for clients across industries, from data pipelines to production systems.
Build analytics tools to improve Netflix’s localization quality and member experience using Python, SQL, Spark, and visualization tools like Streamlit and Tableau.
We couldn't check your fit for this role — add a CV to your profile to see it next time.