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 a team building AI/ML systems for healthcare benefits, including LLMs, RAG, and multimodal models, to improve claims processing and customer experience.
Analyze retail data to drive decisions, using statistical modelling, A/B testing, and experimentation to evaluate interventions and communicate insights to stakeholders.
Build and deploy ML models for an Australian payments company using AWS SageMaker, Python, and MLOps practices.
Build and maintain Parafin's ML Platform that powers underwriting and small business financing products. Partner with Data Science and Platform Engineering to create developer-friendly abstractions, SDKs, and pipelines for model training, evaluation, inference, and feature management, using Python, Spark, Databricks, and AWS.
Senior Data Scientist builds and deploys AI/ML models and data pipelines for financial analytics, partnering with ops and tech teams to deliver scalable, data-driven solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Senior Software Engineer applying ML/AI to fintech problems like fraud detection, user conversion, and transaction processing using Java, Scala, and GCP.
Build and deploy GenAI/NLP pipelines and RAG systems for life-science products, automating ML workflows on AWS/Azure and managing vector/graph search infrastructure.
Design and develop ML classification algorithms for EEG-based seizure detection in a medical device company, using time-series analysis and deep learning.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Build and scale automated business onboarding and verification systems for Wise, using Java/Spring and ML basics to reduce friction while ensuring compliance across Europe and the UK.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build, train, validate, and deploy ML models using Azure ML; automate workflows, implement MLOps, and monitor performance for predictive analytics.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
Build and deploy ML models to personalize customer experiences, optimize pricing, and improve retention across Gen’s cybersecurity and financial wellness products using Python, SQL, and cloud MLOps.
Data scientist validating and improving ML scoring models for B2B credit risk at a fintech bank, translating model outputs into limit strategies and monitoring portfolio performance with Python, SQL, and Airflow.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
