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 maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
Builds and maintains machine learning infrastructure for AB InBev’s B2B platform BEES, including training pipelines, inference services, and monitoring, using Python, PySpark, Kubernetes, and Azure cloud.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Loss Prevention & Operations Analyst Level: P3| Proficient Location: Remote | Canada Reports To: Cathy Langley, Senior Manager, Asset Protection & Operations Type: Permanent | Full-Time About Solink At Solink,…
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Lead Data Scientist building end-to-end ML models for marketing targeting and customer outcomes at a lending company, using Python and SQL.
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Full-stack AI/Software Developer at RBC designing and building agentic AI systems, LLM/RAG applications, and AI-driven security tools using Python, React, vector databases, and cloud platforms (Azure, AWS, OpenShift).
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
Builds and maintains data pipelines, ETL/ELT processes, and cloud infrastructure in Azure using Python, Bash, and Terraform for a data-focused product team.
This role involves leading backend software projects, developing microservices with Node.js, and managing SQL databases and AWS infrastructure. The engineer will integrate AI/ML models and ensure secure, scalable performance within a healthcare-focused environment.
The Senior AI/ML Engineer will design, build, and maintain ML-powered features within Bloomreach's personalization platform. The role involves working with Python, GCP, and various ML frameworks to deploy scalable, high-performance models into production environments.
Machine Learning Engineer leading data projects, developing predictive models, and deploying scalable ML solutions using Python, SQL, and cloud-based MLOps tools at a data consultancy in Uruguay.
Build and support predictive models (forecasting, matching, scoring) at a healthcare marketplace startup using Python, SQL/Snowflake, and scikit-learn.
Urbiotica is seeking a mid-level software engineer to design and maintain real-time data streaming pipelines for their IoT sensor network. The role focuses on processing large-scale data using technologies like Apache Flink, Python, and Apache Iceberg to support smart city solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.