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.
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Build and deploy AI/ML models and data pipelines for JPMorgan’s enterprise systems using Python, Java, and cloud platforms like AWS/Azure/GCP.
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Lead a team building high-performance analytics for equities trading using KDB+/Q and Python, processing large-scale market data to shape next-gen applications in a global finance setting.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and deploy ML models and LLM-powered tools to improve healthcare solutions using Python, TensorFlow/PyTorch, and LangChain.
Build Python data pipelines and applications for real-time energy forecasting and aggregation, enabling traders to optimize renewable energy assets like batteries, solar, wind, and biogas.
About the Role As the Lifecycle Marketing Lead, you will own PandaDoc's full lifecycle campaigns function: leading a team of Campaign Managers responsible for engaging customers across every stage of their journey…
Build and optimize LLM-powered AI assistants for a bank’s internal support systems using Python, RAG, and vector databases.
About the Opportunity Job Type: Permanent Application Deadline: 23 August 2026 Job Description Title Test Specialist (IC) Department ISS DELIVERY - DEVELOPMENT - BANGLORE Location Bangalore Level 4 We’re proud to have…
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
Builds and optimizes data pipelines, ETL processes, and analytical data stores using Python, Spark, ClickHouse, and PostgreSQL for a large retail-tech company.
DWH-разработчик в Сбере, отвечающий за проектирование и реализацию E2E-трактов поставки данных для управленческой отчётности на платформе Digital Reporting. Работа включает проектирование архитектуры решений, построение ETL-пайплайнов в Greenplum, разработку AI-агентов на базе LLM GigaChat и настройку оркестрации потоков данных. Стек: Greenplum, MS SQL, Python, Git/BitBucket, внутренний аналог Air
Junior data analyst builds ETL pipelines, dashboards, and forecasting models to optimize Ozon’s logistics and delivery quality using SQL, Python, and Superset.
Senior Fullstack AI Engineer builds and deploys end-to-end AI solutions using Python/Java/Scala, TensorFlow/PyTorch, and cloud platforms like AWS/Azure, while leading technical teams in Mexico City.
Build and optimize LLM-powered AI assistants for a bank’s customer service channels, integrating models like GPT and Llama with internal APIs and RAG architectures.
Analyze customer-interaction data to drive AI model improvements, prompt engineering, and automation pipelines for an AI-native SaaS platform.
Build anomaly-detection and forecasting models to optimize bank server infrastructure, reducing costs and preventing outages using Python, ML, and distributed data pipelines.
Senior Data Scientist at NGA supporting geospatial-intelligence operations, building AI/ML models and automated workflows with Python, ArcGIS, and big-data tools to analyze and visualize intelligence datasets.
We couldn't check your fit for this role — add a CV to your profile to see it next time.