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.
Oversees data infrastructure, pipelines, and governance for a major financial institution, ensuring secure, scalable, and efficient data collection, storage, and analysis to drive business insights and operational efficiency.
Your Job The Data Scientist will own the data backbone of our Azure-based AI/ML engineering platform. They will be turning historical design and simulation results into clean, structured datasets, and statistically…
¿Por qué te estamos buscando? Tu misión será impulsar la capacidad de Data Science dentro del equipo de Data&IA en Mahou San Miguel, trabajando activamente con las diferentes áreas de negocio, en el desarrollo de…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
AI Solution Architect for Government of Saskatchewan's AI Office designing end-to-end AI technical architecture including platform selection, cloud infrastructure, MLOps pipelines, data integration, and security standards.
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…
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
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.
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
The Senior Software Engineer will integrate LLMs and machine learning solutions into the company's platform, focusing on building AI-driven features, internal automation tools, and scalable ML infrastructure. The role requires strong expertise in Python, RAG pipelines, and production-level AI model deployment.
This role involves building predictive models and data pipelines within the Microsoft Fabric platform to integrate external market data with internal real estate datasets. The Data Scientist/Engineer will manage the full data lifecycle, from ingestion and transformation to MLOps and insight generation for business stakeholders.
The Forward Deployed Engineer embeds with manufacturing clients to lead the end-to-end deployment of AI vision systems, integrating edge hardware with industrial operational stacks. The role involves scoping, building data pipelines, deploying models, and serving as the primary technical liaison between the company and the customer.
Data Engineer building production-grade data pipelines and event-stream infrastructure for Ki, an algorithmic Lloyd's of London insurtech carrier, using Python, SQL databases (PostgreSQL, MySQL, BigQuery), cloud platforms (GCP/AWS), and CI/CD.
Lead the design, development, and deployment of AI/ML and Generative AI solutions for semiconductor/NAND manufacturing and business operations using Python, ML frameworks, and MLOps pipelines.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
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.
The Data Engineer will build and maintain robust batch and stream data pipelines to support AI/ML research and production workflows. The role involves managing data quality, lineage, and MLOps tools like DVC and MLflow while collaborating with cross-functional teams.
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.
Senior Data Scientist developing and deploying ML/DL models using Python, TensorFlow, PyTorch, and Spark, with Cloud MLOps experience on Azure/AWS/GCP and technical leadership duties.
We couldn't check your fit for this role — add a CV to your profile to see it next time.