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 enforce production-grade GenAI features for a fintech revenue automation platform, ensuring reliability, cost control, and safety in billing and revenue workflows.
Build and deploy ML models into production pipelines for a healthcare services division, refactoring data-scientist models into scalable batch jobs and monitoring performance in AWS.
Builds and deploys enterprise-grade GenAI full-stack solutions using React/Angular frontends, Python/Node.js backends, and cloud DevOps, integrating LLMs and document-processing pipelines for healthcare workflows.
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Build and run the Azure-based infrastructure that powers an AI merchandising platform, owning CI/CD, Kubernetes, and LLM integrations while ensuring scalable, observable production systems.
Build and maintain the MLOps platform for Bosch’s AI products, using Terraform, Kubernetes, and Azure to automate the ML lifecycle from data ingestion to model monitoring.
Build and run cloud-native data platforms and pipelines using Python, SQL, Spark, and cloud tools to enable AI services for enterprise clients.
Must have unrestricted authorization to work in the U.S. without the need for employer sponsorship. Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of tech-savvy cash…
Lead the architecture and delivery of enterprise AI platforms, guiding cross-functional teams to deploy cloud-native solutions on AWS/Azure/GCP and mentor AI engineers.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Build production-ready card-issuing features for a global fintech platform, including APIs, spend controls, and transaction systems, using Python and AI-driven automation.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
Build and analyze marketing data models in Python/SQL/R to optimize ad campaigns and measure performance for a global media agency.
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and Terraform.
Build and deploy AI/ML models (NLP, deep learning) using Python and frameworks like TensorFlow/PyTorch, migrating SQL Server reports to a Snowflake data lake.
Build and refine machine-learning models to detect fraud and optimize payments workflows using Scala, Snowflake, and cloud platforms like Azure/GCP.
Build and maintain Snowflake-based data infrastructure and ETL pipelines for research analytics, deploying production-grade data products and models for Barclays Global Research.
The Product Manager leads AI/data initiatives for Finastra’s Trade and Channels solutions, shaping roadmaps and integrating AI/ML to enhance customer outcomes, operational efficiency, and regulatory compliance across banking platforms.
Senior engineer building and optimizing open-source AI frameworks (Megatron Core, NeMo) for large language and multimodal model training, fine-tuning, and deployment on NVIDIA GPUs.
We couldn't check your fit for this role — add a CV to your profile to see it next time.