Related skills
java snowflake postgresql python kubernetes📋 Description
- Architect scalable AI/ML platforms and end-to-end pipelines.
- Ensure data ingestion, preprocessing, training, deployment, and monitoring.
- Ensure reproducibility and FDA/HIPAA compliance.
- Improve efficiency, throughput, and infrastructure utilization of AI services.
- Collaborate with AI scientists, software engineers, and regulatory teams.
🎯 Requirements
- 12+ years designing and optimizing AI/ML systems (8+ with MS; 5+ with PhD).
- Deep expertise in ML pipelines, distributed model serving, and lifecycle management.
- Proficiency in Python or Java; reproducible ML workflows and software engineering.
- Kubernetes, Helm, Airflow; Snowflake, PostgreSQL, Airbyte.
- AWS (SageMaker, S3); MLflow, Terraform; Databricks exposure.
- Ability to influence technical approaches and operational practices in AI/ML.
- Strong expertise in regulatory/compliance for AI/ML (FDA, HIPAA).
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