AI/ML Architect with Databricks, AWS

Hybrid in Los Angeles, CA, US • Posted 3 hours ago • Updated 3 hours ago

Contract Independent

Contract W2

Contract Corp To Corp

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

AI/ML Architect
AI/ML
Architect
Databricks
AWS
SQL

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

Bachelor s or Master s in Computer Science, Data Science, Engineering, Statistics, or related field.

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.

Strong understanding of ML algorithms, distributed systems, and data optimization.

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: 8930578
Posted 3 hours ago

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