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 Data Scientist builds AI models for sustainability using sensor data, time-series analysis, and optimization to solve real-world clean-tech challenges and deploy solutions globally.
Designs and implements AI/ML models, predictive analytics, and data mining solutions for large-scale datasets in the energy sector, collaborating with stakeholders to solve complex business problems and deliver scalable enterprise-level insights.
Maven’s Systematic Alpha group is looking for outstanding portfolio managers to join its global expansion. The team deploys methodically researched strategies across futures, options and equities. Our approach to…
Job description Team & Reporting Line: Cloud Infrastructure Our Mission At constellr, we're harnessing the power of space to solve one of Earth’s greatest challenges: climate resilience & security in a…
Build and deploy ML models end-to-end for e-commerce pricing, forecasting, recommendations, and A/B testing to drive revenue and margin.
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series layer.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and time-series databases.
Lead a team building AI/ML models for clinical drug development, from data strategy to production deployment, using Python and cloud platforms to accelerate GSK’s therapy pipelines.
Build and refine market-making models for equities and derivatives using Python, AWS SageMaker, and deep learning (LSTMs, CNNs) to predict short-term price movements and backtest strategies.
Freelance role training and evaluating advanced AI models on data science topics, requiring deep expertise in ML, NLP, and statistical modeling to improve model reasoning and accuracy.
Builds and deploys full-stack AI agents that analyze industrial data, diagnose issues, and guide real-time decisions for operations teams using Python, FastAPI, and modern AI-native tools.
Build and secure cloud-native AI/ML pipelines on AWS for Safran’s analytics factory, automating CI/CD, enforcing DevSecOps practices, and hardening Kubernetes clusters.
Build and maintain SaaS web apps that embed ML and generative AI for aerospace engineers, using Python, React, AWS, and agent frameworks like LangGraph.
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Build AI and time-series models to optimize ferry operations and coastal services, turning data into predictive insights and digital products.
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.
Senior technical advisor leading AI/ML initiatives to strengthen health systems in low- and middle-income countries, guiding model development, evaluation, and responsible deployment for Ministries of Health.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
