Related skills
aws python gcp airflow spark📋 Description
- Design and build scalable data pipelines for ML and AI apps
- Maintain ML-ready data infrastructure across healthcare datasets
- Ingest, transform, and engineer features for ML
- Build services exposing ML models to internal apps and APIs
- Collaborate with engineers to integrate AI into healthcare platforms
- Migrate legacy data architectures to cloud-native platforms
🎯 Requirements
- 5+ years in data engineering, ML infra, or AI platform engineering
- Strong data pipelines and distributed data systems experience
- Proficiency in Python for data processing and ML workflows
- Experience with cloud platforms: AWS, GCP, or Azure
- Experience with Spark, Airflow, or similar data frameworks
- Exposure to LLMs, NLP pipelines, or AI-driven applications
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!