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.
Builds and maintains cloud-based analytics pipelines that process large data volumes using distributed frameworks like Spark, MapReduce, and SQL/NoSQL databases.
Assist in analyzing datasets, building ML models, and visualizing insights using Python/R and libraries like scikit-learn and Pandas.
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Build and deploy ML models, analyze datasets, and deliver insights for business decisions using Python, stats, and cloud tools in a fully remote role.
Builds and maintains a data warehouse, ETL pipelines (Python/Prefect), and CI/CD workflows for SSRS/SSAS reports, while collaborating with business teams to improve analytics and reporting solutions using SQL Server, Tableau, and Python.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Builds and maintains Python-based backend services (Flask/FastAPI), cloud-native web apps (React/Tailwind), and data integrations for a Rotterdam-based startup.
Build and evaluate generative and predictive models for cellular imaging to uncover disease mechanisms and guide drug discovery using deep learning and high-content microscopy.
Builds and deploys AI/ML models (anomaly detection, predictive modeling, generative AI) to extract insights from Swift’s financial transaction data, driving strategic and customer-facing innovations in global payments.
Resource Modeling Solutions is seeking a creative and driven Full Stack Developer to join our distributed team. This role is perfect for someone who thrives in the layer where everything connects: APIs, databases,…
Python Software Engineer – Trading Systems We're working with a top-tier proprietary trading firm that's quietly building out its core technology group. This role sits close to trading, risk and PnL , but…
Build and deploy NLP classification models for customer communications using Python, PySpark, and SQL, focusing on intent, topic, sentiment, and multi-label classification.
Builds secure data pipelines and transformations for a UK government client, focusing on geospatial and official datasets using SQL, Python, and modern tooling.
Build and industrialize ML and optimization models in Python for a full-stack decision-support product, integrating pipelines, testing, and cloud deployment.
Build and scale AWS-based backend systems and cloud-native infrastructure for utility-scale battery energy storage operations, writing Python code and managing DevSecOps pipelines.
Lead the design and deployment of predictive models and ML solutions in Python/SQL, collaborating with stakeholders to drive data-driven decisions and mentor junior team members.
Builds and maintains Power BI dashboards and end-to-end data pipelines for a healthcare IT company, using SQL, Python, and ETL/ELT tools to deliver business insights and KPIs.
Builds and maintains SQL-based validation frameworks, reconciles large datasets, and automates reporting with Python and Power Apps to ensure data integrity across enterprise systems.
Entry-level programmer developing and maintaining BIM software, internal HR/accounting/CRM systems, and performing data analytics tasks using SQL, Python, and .NET.
We couldn't check your fit for this role — add a CV to your profile to see it next time.