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Kindly share profile for the,
Role - AI/ML Architect β Databricks on AWS,
Location- Los Angeles, CA.Β
Mandatory experience- 10 years AI/ML, 15 years Architect.
Role Overview
We are seeking an experienced AI/ML Architect with deep hands-on expertise in Databricks on AWS to lead the design and implementation of scalable, highβperformance data and machine learning platforms. The ideal candidate combines architectural thinking with strong engineering execution, demonstrating the ability to build modern lakehouse systems, optimize largeβscale pipelines, and drive analytical and ML capabilities across the organization.
This role requires working with large, multi-terabyte datasets, advanced analytics, and endβtoβend ML lifecycle management using Databricks, Python, PySpark, and AWS-native services.
Key Responsibilities :
AI/ML & Advanced Analytics
Data Engineering & Lakehouse Architecture
AWS Cloud Integration
Business Collaboration & Leadership
Skills & Qualifications Required :
Bachelorβs or Masterβs 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.
Preferred
Experience with MLOps and production deployment pipelines.
Strong grasp of AWS-native data and compute services.
Understanding of CI/CD using GitHub Actions, GitLab CI, or similar.
Familiarity with deep learning frameworks (TensorFlow, PyTorch).
Key Competencies :
Strong analytical and problem-solving skills.
Ability to work in fast-paced, highly collaborative environments.
Excellent communication and presentation abilities.
Self-driven with exceptional attention to architectural detail.