AI/ML Architect

Hybrid in NYC, NY, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ML engineering
  • AI/ML Architect
  • AI/ML
  • Databricks
  • Architect
  • AWS

Summary

Designing Databricksbased lakehouse architectures on AWS (Delta Lake + S3 + Unity Catalog).

Clear separation of compute vs. serving layers in distributed architectures.

Low-latency API strategy where Spark is insufficient (e.g., leveraging optimized services or caching).

Caching strategies to accelerate reads and reduce compute cost.

Data partitioning, file size tuning, and optimization strategies for large-scale pipelines.

Experience handling multi-terabyte structured timeseries workloads.

Ability to distill architectural significance from ambiguous business requirements.

Strong curiosity, questioning, and requirementprobing mindset.

Playercoach approach: hands-on technical depth + ability to guide design.

10+ years of experience in data engineering, ML engineering, or AI/ML architecture roles.

Deep expertise in Databricks on AWS, including:

PySpark / Spark SQL

Databricks Notebooks

Delta Lake

Unity Catalog

MLflow

Databricks Jobs & Workflows

Strong programming ability in Python (pandas, numpy, scikit-learn).

Demonstrated experience with large-scale, multi-terabyte data processing.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90987772
  • Position Id: 8930590
  • Posted 5 hours ago
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