Landbase leverages the experience of 100+ world class sales professionals and AI to deliver targeted, high-quality leads on autopilot. Our mission is to achieve GTM automation so humans no longer need to work for their software so they can reclaim their day. We're building GTM-1 Omni - the world's first action model purpose built for lead generation. About the Role We're seeking a Data Engineer to design and implement scalable data pipelines that power our AI models and analytics. Required Skills & Experience Design and implement ETL pipelines in PySpark and/or Scala Spark Orchestrate complex data workflows in Airflow Advanced SQL skills and experience with BigQuery Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL Proficiency with GCP Dataproc and cluster optimization Experience handling TB-scale unstructured data Optimize database performance and storage strategies Create and maintain data quality monitoring systems Collaborate with ML Engineers on production model deployment Stay current with emerging AI tools and technologies 3+ years of experience in large scale data engineering Nice-to-Have Qualifications Experience with PyTorch, Hugging Face, or other ML frameworks Background in LLM operations and deployment Familiarity with Ray for distributed computing Experience with real-time data streaming architectures Background in sales/marketing data systems Previous experience in startup or AI-driven environments Benefits & Perks Competitive compensation Comprehensive health benefits Flexible work arrangements Professional development opportunities Exciting work with cutting-edge AI technology Collaborative and innovative work environment Regular team events and gatherings #J-18808-Ljbffr Landbase
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Job Description Job Description Description We are seeking a Studio Manager to oversee the operations and administration of our Studio. As a Studio Manager, you will be responsible for managing the daily activities, ensuring exceptional customer service, and maintaining...