AI/ML Architect with Databricks

Hybrid in Los Angeles, CA, US • Posted 5 hours ago • Updated 5 hours ago

Contract Independent

Contract W2

50% Travel Required

Hybrid

$60 - $80/hr

Fitment

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Job Details

Skills

AI/ML Architecture
Databricks
AWS
PySpark
Spark SQL
Python
Delta Lake
Unity Catalog
MLflow
Databricks Workflows
Data Lakehouse Architecture
ETL/ELT Pipelines
Machine Learning Model Development
MLOps
Data Engineering
Distributed Data Processing
Time-Series Data Processing
Performance Optimization
Data Partitioning
Caching Strategies
Spark Tuning
S3
AWS IAM
AWS Glue Catalog
SQL
Pandas
NumPy
Scikit-learn
Data Analysis
CI/CD
GitHub Actions
GitLab CI
TensorFlow
PyTorch

Summary

Hello

Job Title: AI/ML Architect Databricks & AWS
Location: Los Angeles, CA (Hybrid)
Hire Type: FTE / Contract to Hire
Rate: $75/hr | Salary: $150K

Job Summary:
We are looking for an experienced AI/ML Architect with strong expertise in Databricks on AWS to design and implement scalable lakehouse data platforms and machine learning solutions. The role involves building high-performance data pipelines, optimizing large-scale datasets, and deploying end-to-end ML solutions using Python, PySpark, and Databricks ecosystem tools.

Key Responsibilities:

Design Databricks Lakehouse architectures on AWS using Delta Lake, S3, and Unity Catalog.
Build and optimize ETL/ELT pipelines using PySpark, SQL, and Databricks Workflows.
Develop and deploy ML models using Python, MLflow, and Databricks ML.
Handle multi-terabyte structured and time-series datasets in distributed environments.
Implement performance optimization strategies including partitioning, caching, Spark tuning, and file size optimization.
Integrate AWS services (S3, IAM, Glue) with Databricks-based data and ML pipelines.
Translate business requirements into scalable analytics and ML architectures while guiding technical teams.

Required Skills:

10+ years in Data Engineering / ML Engineering / AI Architecture.
Strong expertise in Databricks, PySpark, Spark SQL, Delta Lake, MLflow, and Unity Catalog.
Proficiency in Python (pandas, numpy, scikit-learn).
Experience working with large-scale distributed data systems and AWS cloud.
Strong architecture, problem-solving, and stakeholder communication skills.

Preferred:

Experience with MLOps, CI/CD pipelines, and AWS-native services.
Familiarity with TensorFlow or PyTorch.

Thanks & Regards,

Nikhil Kumar

Sr. Technical Recruiter

Email id:

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: 10114281
Position Id: 8904142
Posted 5 hours ago

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