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.
About the Company We are seeking highly skilled Data Engineers with strong expertise in Python, Hadoop, AI, and Big Data technologies to join a leading banking client's enterprise Data & AI transformation…
About the Company: We're not here to run campaigns. We're here to help businesses build legacies. OOm is one of Singapore's leading performance digital marketing agencies, and we've been growing…
Build and maintain automated MLOps pipelines on Azure for ML model lifecycle management, data pipelines, and CI/CD, ensuring reliability and scalability.
Lead the design and deployment of production-grade ML/AI systems using Azure ML, Databricks, and PySpark, ensuring scalable, reproducible, and monitored models in a CI/CD/CT pipeline.
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
Build and maintain CI/CD pipelines, containerize applications, and optimize cloud infrastructure to deploy and monitor multi-agent media tools using MLOps/DevOps practices.
Build and maintain scalable Model Monitoring solutions in Python/PySpark on Databricks, tracking data drift, model performance, and triggering retraining pipelines.
Build and deploy AI/computer-vision systems end-to-end, from data pipelines and model training to C++ edge integration and production validation.
⚡ Empowering people. Unlocking innovation. With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow. 🤝 People-first…
¡Apiux está buscando un/a Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA para TELETRABAJAR!!! Somos una empresa tecnológica especializada en apoyar a organizaciones de todas las…
Build and scale Databricks and AWS infrastructure to power automated, reproducible ML workflows for DraftKings’ sports-betting platform.
Lead data-science engineering projects for public and private-sector clients, building scalable ML pipelines and recommender systems in Python and cloud tools like AWS SageMaker.
Build and maintain cloud and IoT platforms that connect industrial devices to Azure, automate deployments, and lay groundwork for MLOps and ML model lifecycle management.
Senior Data Engineer builds scalable cloud data pipelines and AI-ready datasets for esports and gaming ecosystems using Python, SQL, BigQuery, and dbt.
Demonstrate Databricks’ data/AI platform to UK customers, build POCs in Spark/Python/Java/Scala, and advise on big-data architectures to solve enterprise challenges.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
Build and automate ML pipelines, deploy models to production, and manage cloud infrastructure using DevOps tools like Docker, Kubernetes, and CI/CD.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
