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.
Design, optimize, and debug large-scale distributed GPU training systems for multimodal foundation world models, focusing on numerical precision, fault diagnostics, and performance profiling across PyTorch, CUDA, and distributed training frameworks.
CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. We are starting with pricing and expanding into areas such as inventory, purchasing,…
Designs and deploys AI/ML solutions (LLMs, Agentic AI) in cloud environments, collaborating with cross-functional teams to build scalable AI products.
Leads AI/ML engineering for a fintech SaaS platform, designing scalable automation solutions (e.g., predictive analytics, NLP, anomaly detection) to streamline workflows and enhance client outcomes.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Machine Learning Engineer at a consulting firm, developing and deploying ML models (predictive analytics, classification, clustering) using Python, TensorFlow/PyTorch/scikit-learn, and cloud platforms (AWS/GCP/Azure) across various client engagements.
The Machine Learning Engineer will build an intelligence layer for data activation products, focusing on personalization, predictive audiences, content generation, and marketing budget optimization. The role involves end-to-end development from problem definition and predictive modeling to building the underlying machine learning infrastructure.
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
This role is for an AI/ML Technical Lead responsible for designing and overseeing scalable AI-driven solutions, including LLM-based applications. The position involves end-to-end architecture, model development, and mentoring junior engineers using technologies like Python, PyTorch, TensorFlow, and various cloud AI services.
This senior machine learning engineer role involves designing, developing, and testing machine learning and deep learning systems, with a specific focus on NLP and BERT models. The position is a one-year onsite contract based in Toronto.
Wizpresso is hiring a Junior Machine Learning Operations Engineer to build and maintain scalable infrastructure for deploying NLP and deep learning models into production. The role involves managing CI/CD pipelines, monitoring system performance, and collaborating with cross-functional teams to support financial technology solutions.
The Senior Machine Learning Engineer will develop and optimize NLP models, specifically focusing on BERT and transformer-based architectures, using Python and deep learning frameworks like TensorFlow or PyTorch. This is a hybrid contract role based in Toronto requiring expertise in model fine-tuning and data preprocessing.
The AI/ML Engineer will design, train, and deploy AI models, including LLMs, to support healthcare applications. The role involves building MLOps pipelines, optimizing model performance, and collaborating with cross-functional teams to transition research into production.
The AI/ML Engineer will design and deploy production-grade machine learning systems for a healthcare procurement platform, focusing on computer vision, pricing engines, and predictive analytics. The role requires strong Python skills and experience with ML frameworks to build models that improve efficiency in the UK healthcare system.
The AI/ML Engineer will develop and deploy computer vision, pricing, and predictive procurement models for the ZenroxIQ healthcare platform. This role involves building production-grade ML systems using Python and various AI frameworks to optimize medical equipment procurement.
Senior ML engineer builds and trains NLP models (e.g., BERT) using Python and deep-learning frameworks to solve text-classification and language-understanding tasks.
Analyzes large datasets (especially from ERP systems), develops and validates machine learning models, and translates AI-driven technical findings into actionable business insights and dashboards for stakeholders.
AI/ML talent pool for recruitment agency matching candidates with cutting-edge AI roles (ML engineers, data scientists, NLP, CV, robotics, etc.).
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.